جمــهوری اســـــــــــالمی افغانســــــــــتان اداره مرکزی احصائیه Islamic Republic of Afghanistan Central Statistics Organization Afghanistan National Statistical Plan First draft January 2010 Minor revisions August 2010 Afghanistan National Statistical Plan 1 Table of contents Part I – Approach 5 1 Introduction 5 2 Routine surveys in the ANSP 2.1 Annual National Risk and Vulnerability Assessment 2.2 Modules to the NRVA 2.3 Other household surveys 2.4 The potential for model-based estimation 2.5 Options for transition of ownership of household surveys to CSO 2.6 Establishment surveys and business registers 2.7 Indicators of job growth or job creation 2.8 Survey of Agriculture 2.9 Consumer Price Index 2.10 Analytical Studies and National Accounts 2.11 Data Quality Assurance 2.12 Data analysis 9 9 11 12 13 13 15 17 17 17 18 19 20 3 Census of Population and Housing 23 4 Institutional Development and Capacity Building 4.1 Organizational Development 4.2 Provincial Statistical Offices 4.3 ‘Learning by doing’ 4.4 Training 4.5 Statistical Infrastructure 4.6 Dissemination 27 27 28 28 29 33 34 5 Administrative Data 35 6 Information & Communication Technology 37 7 Physical infrastructure 39 8 Project cost and administration 41 Part II – Five-Year Action Plan under the Afghanistan National Statistical Plan Error! 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Annex A – Analysis of NRVA and MICS questionnaires 42 Annex B – Comments on CSO Capacity Building Plan: Items for Omission or Re-specification 45 Annex C - The demand for data C.1 Main findings 49 49 Afghanistan National Statistical Plan 2 C.2 The unemployment rate 50 Annex D – Motivational Issues and the Historical Context 53 Annex E – Revised and annotated capacity building plan matrix for 2010-16 55 Afghanistan National Statistical Plan 3 Abbreviations ACBR ADB AISA ANDS ANSP CBP CPH CPI CSO CWIQ DECA DfID EC GDP GIS HIES IBES IMF MDG MICS MIS MRRDNAD NRVA OTJ PRR PSO SCB SMP SNA SUSENAS TA TOR UNFPA WFP Afghanistan Central Business Registry Asian Development Bank Afghan Investment Support Agency Afghanistan National Development Strategy Afghanistan National Statistical Plan Capacity Building Plan Census of Population and Housing Consumer Price Index Central Statistical Organisation Core Welfare Indicators Questionnaire (Pakistan) Delegation of the European Commission to Afghanistan Department for International Development (UK) European Community Gross domestic product Geographic Information System Household Income and Expenditure Survey Integrated Business Establishment Survey International Monetary Fund Millennium Development Goal Multi-Indicator Cluster Survey Management Information System Ministry of Rural Rehabilitation and Development National Accounts Department National Risk and Vulnerability Assessment On the job Priority Restructuring and Reform Provincial Statistical Office Statistical Capacity Building Statistical Master Plan System of National Accounts National Socio-Economic Survey (Indonesia)? Technical Assistance Terms of Reference United Nations Population Fund World Food Program (The above is an incomplete list, to be completed in the next version) Afghanistan National Statistical Plan 4 Part I – Approach 1 Introduction The Central Statistics Organization (CSO), Afghanistan, which was established in 1973, wants to develop its capacity substantially and seeks donor support to do so. In pursuit of this, CSO has prepared the first Afghanistan National Statistical Plan (ANSP), in consultation with government agencies and key statistics donors. The permanent staff of CSO expanded in anticipation of a Census of Population and Housing, and is currently numbering about 587 (including 142 staff in provincial offices), of whom 60 are university graduates and another 9 have master’s degrees.1 Some staff in leading positions have had long careers at CSO dating back to the Seventies and Eighties. Nevertheless, most of the staff are relatively new and CSO has remarkably little recent experience collecting field data since 1981.2 CSO did conduct a nationwide population census in 1979 and a sample household survey of income and expenditures in Kabul in 1981. Since then its only major experience has been to conduct two pre-census household listings, one in 2003-05, and another in 2009, with the first of these followed by data collection at 1 in 200 households. These field activities were supported by Geographic Information System (GIS) in the form of preparing maps, as well as data entry. In addition, the IT section at CSO was also involved in data entry for the National Risk and Vulnerability Survey (NRVA) in 2007-08, although NRVA field activities were confided to an external group. Furthermore, in May 2009, CSO conducted a sample survey of establishments, the first sample survey since 1981. Beside collecting monthly price data for the Consumer Price Index, the main function of CSO has simply been to collect administrative data from various government agencies, as well as compulsory reports from various establishments, mostly governmental ones. Previous efforts to develop statistical capacity on a wide front at CSO since 2001 have largely failed for various reasons, including attempts to do too much too quick and inattention to motivational issues, which will be discussed later. At present it is especially critical for CSO to develop its statistical capacity for several reasons, including: 1 2 There are also contract employees, who number 86 in the provinces and 127 at headquarters. The data show that staff with 10 or more years of experience constituted 46 percent of total staff at headquarters in Kabul in 2009, but only 34 percent in 2006, indicating that a substantial CSO expansion took place during the years 1996-99. Afghanistan National Statistical Plan 5 Expectations from the Afghanistan National Development Strategy (ANDS) 3 that requires a wide spectrum of data for monitoring progress towards its goals; Imminence of a national population census, which has led the UN Population Fund (UNFPA) to assess the capacity of CSO to conduct and analyze a census; The decisions by donors to confide various national household surveys, hitherto taken by ad hoc, external agencies, to CSO, either all at once or in stages. These include the NRVA and the Multi- Indicator Cluster Survey (MICS). CSO has not conducted a national household survey, yet. In such a situation demand for data is both real and immenent. Facing these very real demands, CSO has to break down the vicious circle of non-performance. It is therefore believed that one of the main challenges facing CSO is learning by doing, with training playing an important but subsidiary role. Just like other statistical offices in developing countries, CSO has embarked on the preparation of its ANSP with the goal of coordinating development initiatives and donor activities. Structure of the Afghanistan National Statistics Plan Part I narrates the overall strategy, starting from what needs to be delivered to how to build statistical capacity to undertake the required activities and build a sustainable institution. Part II provides for an Action Plan for 2010-2015, with in the form of activity details, and annual costs for each item. The Action Plan was derived from a list of activities presented in Annex E, which was updated and strengthened, in view of the approach described under part I, an earlier plan that CSO prepared during 2008-09 called the “Capacity Building Plan” (CBP) or the “7year plan”. The CBP was a rather costly wish list that was based largely on inputs from data users without adequate consideration for an overall approach and coherence. Recommendations of a previous Statistical Master Plan, presented in 2004, were also reviewed, but the CBP, being more recent, was considered more suitable as a starting point for the ANSP. Given the proposed overall strategy, the sequence of Part I will differ somewhat from the sequence of the itemized ANSP matrix (Part II) and the Action Plan (Part III) themselves, as follows: First we will narrate the data collection activities to be conducted in the field and the analyses to be conducted at CSO, and only then will we take up institutional development and capacity building, including training. In contrast, the ANSP and the Action Plan follow a sequence that CSO used for its own “Capacity Building Plan”, under which institutional development and capacity building were treated first. Annexes deal with several issues that are separate from the plan itself. This will help keep Part I concise. 3 The ANDS was formulated in April 2008, and serves as the country’s Poverty Reduction Strategy Paper (PRSP). Afghanistan National Statistical Plan 6 Annex A present an analysis of the NRVA questionnaire and some future options; Annex B reviews the previous CBP and explain why some tasks were either removed from the plan or restructured. Upon consideration, it was concluded that the CBP represented an attempt to do too much too soon; Annex C presents a brief review of user needs. It turns out, however, that user needs do not affect the chosen set of tasks as much as one might expect. Given the scarcity of reliable statistics and the low level of capacity at CSO, the challenge at this time is not so much to meet all of the needs or even to prioritize the needs as it is to identify among all the key needs a subset that is feasible to satisfy in the near future and is sustainable; Annex D reviews a complex of motivational issues that have guided the preparation of this ANSP and action plan; Afghanistan National Statistical Plan 7 2 Routine surveys in the ANSP Routine household surveys will constitute the main “learning by doing” activity at CSO under the ANSP. Eventually they should involve the Provincial Statistical Offices (PSOs) as well as headquarter’s staff. These surveys are itemized in section B.1 of both the ANSP and the action plan. The survey program proposed here was designed to meet important user needs while also facilitating statistical capacity building (SCB) at CSO with a series of tasks that will provide good learning opportunities without overburdening its nascent capacity. 2.1 Annual National Risk and Vulnerability Assessment An annual National Risk and Vulnerability Assessment (NRVA) is proposed as the core household survey to be carried out by CSO. Besides providing valuable data, this survey will also serve as a continuing training ground for CSO staff, enabling the organization to raise gradually its capacity to conduct household surveys and giving assurance of continued activity to the involved staff. This will be much more useful for statistical capacity building (SCB) than intermittent household surveys. Following are some broad guidelines for this annual survey: The next NRVA, scheduled for 2010, provides an opportunity for a transition toward the model recommended here; A questionnaire for an annual “core” NRVA would need to be relatively short, meaning much shorter than the questionnaire for NRVA 3, taken in 2007-08. Some choices for the questionnaire are discussed below and in Annex A; Given the shortness of the “core” questionnaire, modules can be added to the NRVA from time to time to investigate special topics, as will be discussed in the next subsection. In order to focus on SCB at CSO, however, it is proposed to add no module until 2012, so that only the core questionnaire is implemented during 2010-11. A sample of 21,000 households, as in NRVA 3, would continue to provide data for 45 domains, giving robust data for all 34 provinces and the Kuchi stratum, as well as many large cities. As to the topics to be covered in the core questionnaire, two models based on two different developing countries deserve consideration: One approach, based on the example of the core questionnaire for the annual Susenas survey in Indonesia, involves asking summary questions about expenditure. By themselves, these questions do not provide a reliable basis for estimating poverty rates – only a full expenditure module can do that. But Indonesian analysts who have in hand both the core questionnaire (sample of nearly 300,000) and the expenditure module (sample of only 68,000) can model the relationships between the two kinds of expenditure data and use this model to develop poverty estimates at the district level from the core questionnaire for the census year. Afghanistan National Statistical Plan 9 Another approach involves exclusion of expenditure questionnaire altogether from the core questionnaire because it would take up too many questions in. In this approach the core questionnaire would, instead, follow the example of the CWIQ survey in Pakistan. To sum up, in both the Susenas and the CWIQ cases, the full expenditure data needed for assigning poverty status is not available from the core questionnaire but from a different questionnaire – the expenditure module for Susenas, and the biannual full questionnaire for CWIQ. Nevertheless, it may be possible with time to develop a model – similar to the one in Indonesia – for estimating annual poverty rates by province from a core questionnaire that collects data that is well correlated with poverty status, but this possibility can only be assessed with empirical research. The potential and risks of model-based estimates is discussed in section 2.4 below. In budgeting for a future NRVA, it is useful to consider historical costs. The 3rd NRVA. Operational costs for the most recent NRVA were $1.8 million. The survey involved a field staff of 150 who conducted the survey over a 12-month period. This amount does not include the costs of national project staff, or that of international consultants, who spent a total of about 40 person-months to design and manage the survey and to analyze the results and train Afghans to tabulate the data. The 2nd NRVA. Operational costs then were only $600,000, as this involved taking the survey in a single burst of activity over two months or so, with a field staff of about 600. The comparison shows that it is much more costly to take the survey over a 12 month period than in a single burst, due to sharp increases in the cost of labour and vehicle rental, which are used more efficiently in a single burst. On the other hand, the data collected throughout the year adjusts for seasonal variations in expenditure and therefore provides a more meaningful picture of average conditions. For the annual NRVA, a compromise is proposed between the 12-month and single-burst approaches. This would involve taking the survey in four quarterly bursts. Estimated operational costs would run to about $1.3 million, plus roughly another $100,000 for project staff. This approach would adjust for most seasonal variation, but at substantially less cost than the 12-month approach. Moreover, this approach would allow for the use of a relatively small field staff (150 or a bit more), facilitating the transition to CSO ownership in three ways: Data entry would be spread throughout the year, enabling staff to do trial tabulations for each quarter and use these as a guide for data cleaning; The total staff required would be much smaller in number than for the single-burst approach, putting the goal of majority CSO participation in the field work much more within reach; The frequent bursts of field work would keep CSO staff involved far more often in a “learning by doing” process than if field work were confined to a single burst and would motivate staff to make a real commitment to the work. Afghanistan National Statistical Plan 10 If one compares the quarterly-burst approach with the monthly one, the following considerations argue in favour of the quarterly approach: The quarterly approach would be considerably less costly and easier to supervise than the monthly one. For a long-term survey program at CSO, these are major considerations. The savings would be for both operational costs (especially vehicles) and the cost of international consultants who will play a supervisory role. The findings are unlikely to differ sharply from those of the monthly approach, inasmuch as the quarterly approach will automatically adjust for a larger share of seasonality. Moreover, the agreement or lack of it thereof between the findings of a quarterly and monthly survey can be assessed by comparing the findings for the whole country based on two ways of tabulating the data for NRVA3: (a) data for the sample that was administered during the four months that would be chosen for a quarterly approach and (b) data for the full 12-month period sample. A four-quarter survey would confront access problem in winter just as did the 12-month approach. It appears that 40 districts are usually inaccessible in winter, while another 8090 districts are intermittently blocked. Workarounds for this problem involve waiting for the right moment to enter the designated village and either interviewing retrospectively or imputing the data for blocked areas based on the data for the same areas in spring and fall together with data for the covered areas in all seasons. The mode of transition from project management approach to a program approach involving CSO management – with regard to NRVA and all other household surveys -is discussed in section 2.5 below. 2.2 Modules to the NRVA Some countries have a brief “core” annual questionnaire for the household survey, to which they attach more specialized modules from time to time. In Indonesia, a large country, the core Susenas (National Socio-Economic Survey) questionnaire is taken at about 390,000 households (was 270,000 until recently) so as to provide data that is valid at the district level, while the modules are taken every year (but with varying topics) at only 68,000 households to provide data that is valid at the provincial level. In Pakistan, another large country, a short questionnaire called CWIQ (Core Welfare Indicators Questionnaire) is conducted every other year involving a sample of 80,000 households, while a longer questionnaire is administered in the alternate years involving 15,000 households. For Afghanistan, a wide variety of topics could be considered for modules; the list of sections from NRVA 3 provides a starting point for selecting such topics. Expenditure will be a prime topic for a module. A labour force survey would be another prime topic. The questionnaire would need to be more extensive than the one used for NRVA 3. As far as possible, it is Afghanistan National Statistical Plan 11 recommended to adhere to the standard questionnaire recommended by the International Labour Organization (ILO), even if this involves separate pages for each family member, rather than providing only a separate row in a table for each family member. The latter method occasionally involves small simplifications that limit the international comparability of the data. A labour force module would need to be designed to accommodate various alternative concepts of unemployment, given the widespread discontent in Afghanistan with the standard ILO concept. Child labour would also be a prime topic, about which the ILO has expressed interest. It may be possible to combine this topic with a labour force module. 2.3 Other household surveys Although, an effort has been made to minimize the number of separate household surveys, so as to focus on a routine annual surveys, it has not been possible to eliminate two separate surveys. First is a Household Income and Expenditure Survey (HIES), which involves a very detailed questionnaire and cannot be combined with NRVA. The later involves using expenditure diaries and repeated revisits to ensure that household members are consistently filling out the diaries. In addition, the sampling approach is also different, as HIES focuses mainly on urban households, for the simple, practical reason that the CPI in Afghanistan and many other countries is for cities. Due to the challenging nature of the survey technique for CSO, which has not conducted such a survey for the last 20 years, it will be best to begin first with a Kabul HIES, with HIES for other cities to follow in a year or two. The last HIES was carried out in 1981, and the consumption baskets based on that HIES are now very much out of date. A Kabul HIES would be very useful for updating CPI weights at least for Kabul, which may account for a good half of the weights in the current CPI. A sample size of 800 to 1000 households per city would be adequate enough, for each of the cities covered by the CPI. The CPI at present covers 10 cities; expansion in 2010 is foreseen to 14 cities. Second to consider is the Multi Indicator Cluster Survey (MICS). MICS is based on a standardized questionnaire that has been tested and implemented in many developing countries under UNICEF sponsorship, and is very much designed in support of monitoring progress towards the Millennium Development Goals (MDGs). As such, MICS tends to give precedence to international comparability over national comparability and specific country data needs. MICS was previously carried out in Afghanistan in 1997 and then in 2003 under the aegis of CSO, but with implementation in the hands of an external project, again under UNICEF sponsorship. NRVA is likely to evolve into a core questionnaire that will not include so many questions about the health of women and children. In future, it is recommended that no specialized health module be attached to the NRVA, and that MICS and NRVA and any other health survey be harmonized so as to maximize comparability across surveys and, critically, over time. For NRVA3, such coordination may not have taken place, as is indicated by the lack of any discussion in the health chapter (chapter 8) of the draft NRVA report Afghanistan National Statistical Plan 12 on comparability with the 2003 MICS data. Likewise the forthcoming MICS has not considered comparability with existing national instruments such as the NRVA. The potential of linking MICS data with the kind of socio-economic data in NRVA does deserve further consideration. Such linkage allows for multivariate analysis of the interactions between health issues and other variables such as expenditure per capita and educational attainment. NRVA3 itself can be analyzed for such linkages, and it is not obvious that similar analyses will be frequently needed. On another occasion, linkage could be attempted in a virtual way, by choosing a common set of Primary Sample Units and coordinating the travel of the MICS and NRVA teams to the same PSUs (perhaps even sharing a vehicle), where they could select samples involving different households to avoid respondent fatigue. Such linkage should not be attempted, however, until CSO first develops a solid, practical capacity to undertake household surveys. 2.4 The potential for model-based estimation The potential use of NRVA data for model-based estimates of poverty and other characteristics of interest needs to be further investigated when planning for future household surveys. The potential uses are mentioned in two places in this document: In the discussion of the Afghanistan Population and Housing Census (APHC), with regard to the possibility of using the APHC data to prepare district-level poverty estimates on the basis of provincial level NRVA data and APHC data at the district level for characteristics that are well correlated with poverty rates in the NRVA data. In the discussion of the scheduling of an expenditure module for future NRVAs, the possibility of using NRVA data for aggregate expenditures to model provincial level poverty estimates for years when a full expenditure module is not implemented. The reliability of a model-based approach will, of course, depend on the degree of correlation between the target measure (such as poverty rates) and the proxy indicators that are available from the more succinct source (such as province, family structure, housing characteristics, occupation, educational attainment, and labour force status of head of household, etc). Where correlation is high, the model-based estimates would be relatively reliable, otherwise less so. Further research will be needed to develop a clearer picture of the relevant correlations. 2.5 Options for transition of ownership of household surveys to CSO A thorny issue is how to manage the transition from CSO’s current zero experience with household surveys to full management. This is also the issue of how to manage “the transfer of the technology” of survey-taking to CSO. Afghanistan National Statistical Plan 13 The case of NRVA will be discussed in some detail but the same issues will apply to any other survey. For NRVA, an independent unit was the implementing agency – the National Surveillance System (NSS), a project that began in 2003 under the Ministry for Rural Rehabilitation and Development (MRRD) but eventually came to include CSO as well. To be sure, the NRVA team does not consist of permanent staff, but rather of temporary contract workers. For each NRVA iteration, a project team must be reconstituted under the supervision of the international consulting firm, which has been ICON. The NRVA enumerators were selected on the basis of a mental agility that would enable them to master the contents of the full NRVA questionnaire, which for NRVA 3 ran to 38 pages for the men’s questionnaire and 37 for the women’s. CSO staff have never served as NRVA enumerators, and it is unclear how many CSO staff would qualify if they applied for the job. On the grounds of educational attainment alone, CSO staff would have difficulty competing, as a quick survey of the 142 NRVA enumerators and supervisors showed that about 75 of them had an educational attainment of 14 or 16 years.4 (The percentage with 14 or more years of education was considerably higher for men than for women, as is consistent with the much larger number of male than female graduates). CSO, with only 69 university graduates and 29 diploma graduates (many of whom would not be available for field work), would have major difficulty fielding an NRVA staff with the educational levels of the NRVA team. For this reason, it can be said that CSO will have to “climb a steep hill” in order to implement an NRVA-type survey with the same level of performance that was achieved by the NSS project. Two possible models suggest themselves: One is that CSO officers manage a project, but with substantial involvement of national and international consultants in overseeing operations. This involvement could gradually phase out from year to year as CSO managers become more experienced; Another possible model for a transition to CSO would be for an external project such as NSS to include CSO staff in its ranks in a stepwise way, aiming for a share of, for example, 30 percent in the first year, with increasing shares in subsequent years. By the time that CSO takes over full management, it would have taken steps to raise its capacity and have gained a practical understanding of the need to use external staff to fill gaps in its own ranks. Similar transitional arrangements will be needed for the transfer of NRVA management. An important part of the management task for NRVA involved negotiating access for teams in conflict-stricken districts. NRVA has been conducted using vehicles that carry six persons: a driver, a supervisor, and two teams of interviewers – each including a man and a woman. Most provinces require a single car with two teams, but some larger ones have two cars and some cars cover two small provinces. CSO involvement would tend to reduce costs in two ways, as compared with an external project. First, the project could rent vehicles from CSO, which 4 Based on a telephone survey of NRVA staff that was carried out in November 2009 at the request of the consultant. Phone calls were placed to the supervisors of each provincial team, with data obtained for 95 out of 143 enumerators and field supervisors. Afghanistan National Statistical Plan 14 should be somewhat less costly than rental on the open market. Second, as CSO staff is increasingly brought into the enumeration process, labour costs should fall somewhat as compared with contract labour hired on the open market, because CSO staff would be less concerned about employment during the gaps between bursts of survey activity, as compared with contract labour. The preferred model for the transition to CSO ownership is still under discussion at CSO. 2.6 Establishment surveys and business registers Establishment surveys are listed in section B2 of both the ANSP and the Action Plan. The register of medium and large establishments, which now number about 1800, is updated yearly with new listings from the Afghan Investment Support Agency (AISA). The cutoff for the register, measured in terms of employment, varies by sector from, for example, 50 for manufacturing to 30 for services. Until recently, the AISA data provided about 100 new listings each year. During 2008, however, Afghanistan developed a new system for registering both limited liability and sole proprietorship companies that has been applied in Kabul and some other provinces, under the Afghanistan Central Business Registry (ACBR) at the Ministry of Commerce and Industry.5 It is not yet clear what impact the ACBR system will have on the updating of the CSO register, but it is almost certain that revised CSO updating procedures for the statistical register will be needed to take full advantage of the new source.6 Fortunately, the ACBR data does include certain critical variables for statistical purposes, such as: location address, telephone number, number of workers and description of main product. The paucity of establishment statistics is generally recognized as a major weakness of the Afghan statistical system, severely inhibiting the development of national accounts. CSO continues to rely on obligatory reporting by listed establishments, a relic of its socialist phase, but this system is becoming unwieldy due to the increasing number of establishments. For business registries, two broad coverage risks normally arise in every country: a. Does the register include all the establishments (or enterprises) that are supposed to be included – for example, the ones above a specified cut-off? This issue normally leads in turn to the question whether the updating procedure succeeds in capturing the new establishments above the cut-off as they form. This question in turn can obviously be broken into two parts: (a) Does it capture the new establishments that form with a size above the cut-off, and (b) does it capture establishments that formed with a size below the cut-off but have since grown in size to cross the threshold; 5 6 Under the new Corporation and Limited Liability Law of Afghanistan (2007) individuals and businesses who want to become legal entities in Afghanistan (corporations, limited liability companies, partnerships and Sole proprietors seeking traders or investors license), need to register with the newly created Afghanistan Central Business Registry at Ministry of Commerce & Industry. Since the inception of the ACBR until the third week of November 2009, 13,655 business have being registered (mostly from Kabul), with 4,426 submitting their registration forms through AISA and the rest directly to ACBR ,” quoted from paper by Sanath Jayanetti, study of GDP data commissioned by DfID, December 2009. CSO may also wish to consider adopting a uniform employment size cut-off for all sectors, so as to facilitate comparison with area sample data as well as make the data more user friendly. The present cut-off varies between 50 workers for manufacturing to 30 for services. A cut-off of 20 workers is common in some countries. Afghanistan National Statistical Plan 15 b. Does the register include establishments (or enterprises) that are, in reality, out of scope, for example, closed or below a cut-off. This would occur if, for example, CSO failed to track these establishments, or, failed to declare them closed or out of scope even after having tracked them and found them to have closed or to have fallen below the cut-off. What is seldom understood is that the A risks are far more important than the B ones. The reason is simple. If the unit is selected for a sample, the B group of errors can be detected during a field survey of registry units – that is, it will become known that the establishment has closed or fallen below the cut-off when a visit is made to the establishment. Moreover, in the case of Afghanistan, the establishments above the cut-offs are obligated to submit quarterly reports to CSO, and these reports could be used to update the status of establishments that have closed or fallen below the cut-off. Accordingly, the fact that among some 1800 listed establishments at CSO nearly half may have closed or be out of scope is not actually such a big problem, although it is puzzling why these establishments are not more promptly removed from the list of active, in-scope ones as CSO acquires the relevant information. In contrast, the A risks cannot be detected during a survey of registry units, because the problem units lie outside the list of registry units. There is, however, one tested, reliable method for estimating the number of missed units. This is to conduct a survey involving two samples: a list sample, based on the register, and an area sample, based on selected areas that are canvassed door-to-door. The trick then is to use the area sample to prepare lists, for the sample areas, of all establishments that appear to be in-scope for the list sample in terms registry cut-offs, then to match the suspect establishments in the area sample against the list sample for the same area. Establishments that appear in both samples should appear only in the survey tabulations for the list sample and not those for the area sample. If some establishments from the area sample are found to have been missed from the list sample, it would be useful to estimate their number and employment in the population, after applying the appropriate blow-up factors. This is an analysis that could have been done in connection with the recent Integrated Business Establishment Survey (IBES), but such an analysis may not have in fact been fully carried out. In May 2009, the IBES was carried out in Afghanistan, involving two samples – an area sample and a list sample. The list sample was based on a list of some 1800 large establishments kept by CSO, while the area sample was based on a sample of small areas. A draft report on the survey is under review, but full tabulations are not yet available. Similar surveys will need to be conducted every year or two in future and should be designed to shed more light on the question of registry under coverage. Although there has been much discussion of the need for a Census of Establishments to update the register, it must be understood that a census is a very blunt, ineffective, and inefficient tool for updating a business register. Experience in other countries, including Ghana and Sri Lanka, has in fact shown that an Establishment Census can miss many large establishments, for various reasons including difficulties encountered by enumerators in entering an establishment. For these reasons, it is essential to develop a strategy and set of procedures for register updating based on the ACBR and other suitable administrative sources first, before holding a census. It would be much more useful to conduct a Afghanistan National Statistical Plan 16 Census of Establishments once a CSO business register has been rebased on the ACBR, at least for those provinces for which the ACBR is operational. Furthermore, when an Establishment Census is finally conducted, it is essential for enumerators to carry establishment lists from the registry with them, sorted down to the village level. Subsequent to a census, it would become important to consider developing sampling methods for establishments, in order to replace the system of obligatory reporting where appropriate. 2.7 Indicators of job growth or job creation Many userrs have expressed interest in indicators of job growth or job creation. Such data, it must be said, are normally taken from establishment surveys or establishment data from administrative records – for systems that have comprehensive data for small and medium enterprises and new ones. A household survey is normally not the source for such data, because the respondents will not know about the previous history of their job. In order for the establishment data to shed light on this issue, it would need to be collected in ways that are far more comprehensive and reliable than is now the case. For the time being, job creation in the private sector is unlikely to have a large impact on a labour market in which all salaried workers (including government workers) account for only 12 percent of the employed, according to NRVA 3. For now, it would more realistic for policy-makers to focus on proxies for job creation, such as: The number of salaried jobs in private establishments, which could come from the NRVA or a module to it; The number of new business licenses issued. The new ACBR licensing system could in principle produce a useful indicator as it appears to cover the smaller establishments as well as the large ones. This indicator would, however, only be reliable once the ACBR has expanded to cover the country and has mopped up the backlog of existing firms that need to register. Furthermore, such an indicator would be far more useful if it showed the number of jobs at each new establishment. 2.8 Survey of Agriculture The need for a Survey of Agriculture and its relationship to the Census of Population and Housing (CPH) are discussed in Annex B on the Capacity Building Plan and will not be repeated here. 2.9 Consumer Price Index It is also intended to extend CPI coverage to more provincial capitals, eventually covering most or all capitals. At present the published CPI covers only six cities: Kabul, Herat, Kandahar, Mazar-e-Sharif, Jalallabad, and Khost. Data has been collected for four more cities (Kunduz, Badakhshan, Helmand and Bamyan) but has not yet been used to compute local price indexes nor included in the national CPI. It is planned to incorporate data for the four cities into the CPI, to extend CPI data collection to four more cities in 2010, and further to extend the CPI to additional cities in 2015. A major difficulty in expanding CPI coverage for Afghanistan is the lack of convenient channels for sending the data to Kabul. Post is slow and not very reliable. Internet would Afghanistan National Statistical Plan 17 provide a much more speedy solution, and the need for such a link is discussed further in the section on ICT. 2.10 Analytical Studies and National Accounts The major focus of analytical studies in the CBP was in support of the national accounts, and the major focus of national accounts work discussed here is to improve data sources for the accounts. The rudimentary nature of the accounts – still using the System of National Accounts (SNA) 68, production and expenditure accounts, with a large part of the expenditure account derived as a residual, no input-output or supply and use tables , can be traced to the meager source data available to the national accounts team. Two studies proposed in the CBP involved utilizing the IBES and the HIES data for national accounts, and this goes into the ANSP as well. It is essential as well to review the obligatory questionnaires that establishments use to file their quarterly reports. Although the questionnaires have been upgraded in the last year or so to include for the first time use of intermediate product, they are not yet optimally designed in support of the accounts. Table 2.1 Conspectus of Sources for Value Added Estimates in National Accounts Wheat and paddy rice Real annual estimates based on crop cut surveys Other food crops Estimated using rough methods based on market prices & traded volumes Perennial horticulture Qualitative assessments based on extension agent reports. Opium Resin estimates by the United Nations, area cultivated estimated by the UN and USAID using remote sensing methods. Livestock Rough estimates in the absence of a livestock survey. NAD collects scattered interview data with slaughterhouses. Intermediate consumption in No data is available for this. agriculture Output of bakeries Purposefully sampled bakeries in Kabul area. Textiles, leather, wood Data collected by the ESD from obligatory quarterly reports by large factories. products (incl furniture), & paper products Mining & quarrying Data from the Ministry of Mines Construction -- modern ESD collects from the Ministry of Public Works, MRRD, Ministry of Finance and other line ministries. NAD collects data for modern private construction with non-response common. Construction -- informal No data is collected for this, assumed to equal the modern sector. Wholesale & retail trade Based on a commodity flow model with fixed coefficients. No use is made of data collected by MoF and AISA from registered trading companies. Restaurants and hotels An annual survey is taken of 6 restaurants and hotels in each nahia, purposely selected from a list of state-owned enterprises. Ratios from the survey are applied to the estimated number of State-owned & private establishments in Kabul. Air transport ESD survey of Afghan airlines Buses, trucks, taxis & other, NAD collects its own data through purposive surveys. Afghanistan National Statistical Plan 18 informal, modes Banking & finance – formal Da Afghanistan Bank sector Insurance, informal money NAD collects its own data through purposive surveys. changes & real estate services Ownership of dwellings NAD collects its own data in certain Kabul neighbourhoods Community, social & NAD collects data on gross revenue and intermediate consumption using gross personal services receipts and the number of people engaged in these institutions. Government services Budget of the central government In the ANSP, an annual review of NAD data needs is planned, including efforts to identify priority, feasible ways to obtain the required data for both formal and informal sectors. If this process can be continued for a number of years, it will probably lead to improved quality for the national accounts. Table 2.1 provides a summary of the main sources used for the measurement of GDP from the production side. It can be seen that the sources are fragmentary; for many commodities the NAD must rely on qualitative data or data collected from small, purposive samples. The table is based largely on an ongoing DfID study and, for the sake of brevity, omits many details that are presented in that study. Due to the lack of producer price data, consumer prices are used as needed to represent producer prices. For the GDP by expenditures, data sources are even thinner. The NAD would like to utilize the NRVA for estimating consumption, but needs to understand better how such surveys tend to understate true consumption by large percentages, especially in developing countries. In sum, the major obstacle to the progress of national accounts in Afghanistan is the paucity of source data, so that the path to progress must lie in enhancing the source data. The first steps in that direction would be to review the gaps and identify those that appear easiest to fill. Obviously, the IBES will provide a new source that could be used to re-estimate GDP for 2008 and perhaps to create a new benchmark for GDP. The NAD intends to produce a technical handbook on how GDP is estimated. The NAD would also like to begin to announce schedule for releases and for revisions, and then to strive to meet these schedules. This is, of course, an IMF requirement for GDDS, so it would be good for CSO to move in this direction. 2.11 Data Quality Assurance Data quality assurance is key to a well-functioned and well-regarded statistical system. Ensuring that the data are reliable and that they are perceived as such by users is paramount to the usefulness of CSO products and services. Data quality assurance and monitoring function is essential to ensure high quality data are produced and used. Afghanistan National Statistical Plan 19 Different areas of the statistical production need to be addressed. This includes a monitoring system, central quality assurance functions, dissemination of information about quality, and user feedback. CSO could make considerable improvements in data quality assurance by: Developing a quality policy - providing guidelines, a framework for definition of quality objectives and standards, and a commitment to satisfying user needs. Developing quality tools at all stages of data collection – including design, field monitoring systems, quality and performance indicators and measurement systems, quality control systems, self administered quality checklists. Developing a process to review quality of analysis and reporting. Training staff in quality awareness, principles and procedures, new standards, principles and methods of quality improvement. Developing a program of quality reviews to take a comprehensive scrutiny to address specific data sets (e.g. CPI, household surveys). Implementing the quality policy – including continual quality improvement and a quality evaluation program. 2.12 Data analysis CSO currently does relatively little analytical work. The benefits of conducting more analyses would be threefold. First, the results are of intrinsic interest in their own right to users. Second, they stimulate interest in the statistics on which they are based, and increase credibility and visibility of CSO. Third, they put the CSO in the position of a user, and hence better able to see the strengths and weaknesses of the statistics produced. Comparisons with data from other sources are invaluable in checking the quality and coherence of the data and identifying possible problems. Although the analysis is not and will never be its core function, the CSO needs to develop its capacity in this area. The CSO will not become the leading centre on economic analysis and forecasting but will work to enhance the analysis function and to make its presentations of statistics more informative. Routine publications of the CSO will benefit from the improved analytical infrastructure. The results will include better visibility, more graphs, more trend estimates, and generally more descriptions and interpretation of official data and survey results. To improve analytical capacity and products, CSO could conduct the following activities: Identify the user needs for analyses, in consultation with users. Improve the analytical skills of relevant CSO staff. Develop analytical methods and conduct analyses to meet needs. Establish a standard set of analytical tools to be used in statistical presentations. Systematically improve description, analysis, and interpretation with every data release. Afghanistan National Statistical Plan 20 Develop more in depth analysis including forecasting for national account statistics. Afghanistan National Statistical Plan 21 3 Census of Population and Housing The Census of Population and Housing (CPH) is covered in section C of the ANSP and the Action Plan but is not budgeted there, as the CPH is expected to be funded separately from the rest of the Plan. The ANSP includes a CPH, which is now scheduled for 2011 after having been postponed more than once. The last national population census was in 1979, so that current population estimates are based on projections from 1979. UNFPA has begun major efforts to prepare CSO for the CPH. These efforts include: Support for a nationwide Household Listing (HHL) in 2009; Support for a Geographical Information Systems (GIS) unit at CSO so that it could print maps for the household listing and so that it can prepare corrections to the maps based on findings of the listing; Preparation of a training program to prepare CSO staff for census operations, a program that is about to be launched; Preparation of a budget for the CPS itself, with UNFPA arranging for donor support, and; Discussions with other donors about a broad program to assist in raising SCB at CSO, so that it will have the capacity to conduct and analyze the census. CSO plans to carry out a pilot census in 2010, with some pilot activity in every province, and to follow this with the full CPH in 2011 if the security situation permits and if training at CSO in CPH-related skills has proceeded to a sufficient extent. Following review by the International Census Advisory Board, in early 2008, a draft questionnaire for the CPH was shortened and simplified, to accommodate the limited capacities of most enumerators. CSO is also prepared to implement the census flexibly in conflict areas: In some districts, it may be necessary (and possible) to co-opt Taliban cadres for conducting the census. Similar methods have been used for the NRVA; For other districts, it may not be possible to conduct a census but estimates could still prepared pegged to the HHL and supported by remote sensing. Hopefully the number of such districts could be kept to a minimum. As a point of comparison, it is worth noting that many districts in Sri Lanka were omitted altogether by censuses during the long conflict there, but censuses still took place in the safer parts of the country. The HHL itself, now nearly complete, will provide valuable demographic data for Afghanistan. In particular, it will provide the number of households per village, and this number could be used to prepare a synthetic estimate of the number of persons per province (and, with less precision, per district), with estimates of the average household size per province and for major cities, using NRVA data – average size for the country is 7.3. Although some remote settlements may have been missed by the HHL, due either to oversight or to poor security conditions, techniques exist for estimating the number of missed Afghanistan National Statistical Plan 23 housing units from remote sensing – which provide an effective data source for Afghanistan, a country with relatively clear skies and minimal forest cover. Given the usefulness of the HHL, questions may be raised as to the need for a full census. Yet the need for a full census is, in fact, compelling. Beginning with broad considerations, in the context of learning by doing, a population census is a very powerful exercise for building statistical capacity, as it involves large numbers of staff and contract workers in basic and (for the most part) not overly challenging statistical tasks. At the same time, it will be a particularly challenging task for CSO to manage such large databases (covering upwards of 4 million households), and this will require the development of a high order of database management skills. The capacity to control quality in the field also needs to be developed. The holding of a national census is moreover a powerful statement of nationhood, second to an election but still very important. The commitment to hold a national census is embodied in the London Compact (2006) and the Paris Declaration (June 2008). Yet, for these reasons alone, there will also be a major risk of disruption of the census by elements hostile to the GoA. More fundamentally, the data provided by a census are of vital and irreplaceable value; these include the population of each village by age, sex, and socio-economic characteristics such as educational attainment, labour force participation, economic activity and family structure. The critical need for such data was mentioned by several agencies during a survey of data needs. More specifically, the data are needed for the Afghanistan National Development Strategy (ANDS), to provide baseline measures and as a basis for planning down to the village level. As expressed in a draft UNFPA analysis, “No other data source than a Population and Housing Census can provide such primary information at the national, provincial, district, Nahia, and village levels; allow for a comprehensive gender analysis of population-based indicators; or serve as a basis for population projecttions and estimates at the required points in time and levels of functional or geographic disaggregation.” 7 In sum, if the Government of Afghanistan wishes to move towards evidence-based policy-making, a CPH appears to be a natural place to start. Furthermore, the CPH head counts and characteristics are needed to develop a household master sample, which can then serve as the sampling frame for all subsequent household surveys such as the NRVA, MICS and HIES. Such a master sample is needed to control the representation of various socio-economic groups in a sample, the composition of which would depend on the purpose of the survey. The question is often asked how to develop district-level data for Afghanistan, due to the yawning disparities in welfare levels among districts. The most obvious path for preparing such data is through a CPH, because only a census involves visiting every household in the country. Other alternatives include administrative data where this can be developed with sufficient reliability, for example for school enrolment. The other alternatives, such 7 UNFPA, “A Strategic Program for Strengthening CSO, Building its Capacity, and Conducting the 2010 Population and Housing Census”, undated draft but appears to have been written around January 2009. Afghanistan National Statistical Plan 24 as sample surveys, are not feasible for producing data at the district level, as the cost would be excessive. The potential for developing synthetic estimates of poverty by district based on socioeconomic indicators in the CPH should not, however, be ignored. Poverty measures by district are much sought after by planners. Direct poverty estimates by district are not feasible for Afghanistan given the large number of districts (400) and the large sample (at least 250 preferably 500 households per district) and long questionnaire that would be required for that purpose. Synthetic estimates, however, are feasible based on the NRVA poverty data and a multiple-regression model that relates the poverty status of each household to characteristics such as family structure, age, labour force participation, economic activity, educational attainment, province, and urban-rural status.8 8 Andrew Pinney, “A proposed census-household survey architecture for Afghanistan”, note circulated by email on 2 December 2009. Afghanistan National Statistical Plan 25 4 Institutional Development and Capacity Building 4.1 Organizational Development The tasks discussed here are shown in section A.1 in the ANSP and the Action Plan. Pay scales at CSO are very low, even after being raised by CSO participation in the government’s Priority Restructuring and Reform (PRR) system. A university graduate with three years experience will receive only about $150 per month. Such low pay scales create poor incentives for performance on the job and professional development. The low scales could become an even more acute problem when a major project starts at CSO, raising the risk of sharp resentment of the high salaries of international and national consultants and major disappointment at a lack of additional rewards for CSO staff. Two approaches are proposed for alleviating this problem: A broad increase in pay scales (to a range of $100 to $600 per month) is available under the GoA’s Pay and Grading (P and G) system. The system requires, however, that the agency prepare written job descriptions for all employees. It is recommended that CSO strive to qualify as soon as possible for P and G, in particular by preparing the required job descriptions. One or more national consultants may be needed to help with these preparations. It may, however, be the case that CSO must wait its turn in the queue for adherence to P and G and is not in a position to take any steps in that direction on its own. CSO should stand ready to pay appropriate bonuses for work that is well completed in the framework of the ANSP, using some donor funds for that purpose. It will be best if payment is clearly linked to cases where good work has been carried out and deserves a modest reward. The payments must not be seen as a right for all employees. A related issue is how to attract more graduates of universities and two-year diploma courses to CSO. Persons with such credentials would be far more trainable than persons with only a high school degree. This problem needs to be examined more closely, as it may depend not only on pay scales but also on the kinds of job slots authorized for CSO. Finally, there are three “housekeeping matters” that CSO wishes to address during the ANSP: Refinements are needed in the Statistics Law of 2006. Among other things, these refinements would clarify the legal position of CSO, provide a full guarantee of statistical confidentiality for data provided to CSO, even in cases of criminal prosecution, and specify the legal process for selecting the President of CSO. These proposed changes have already been submitted to the parliament. Further delays in the legislative process, while unfortunate, will not obstruct any other parts of the ANSP. Afghanistan National Statistical Plan 27 CSO needs administrative restructuring to add to the number of departments, in particular to break up the Department for Sampling and Field Operations, into several departments, including GIS, data processing, database administration, and field operations. Enhanced public finance management at CSO. 4.2 Provincial Statistical Offices There is also the issue of how to develop the 34 Provincial Statistical Offices (PSOs) with a series of tasks of graduated difficulty, including household and establishment surveys. The PSO’s have existed since the Seventies and were more active then, but have in the intervening years fallen into low performance. This problem requires a focused needs assessment by a team including an international consultant. The difficulty is how to design a series of tasks that meets CSO needs while also facilitating a process of learning by doing at the PSOs. At present, the 34 CSO’s have a total of 140 permanent staff and about 80 contract employees, with more staff per PSO in larger provinces such as Kabul and Herat. Few PSO staff have either 16-year or 14-year degrees. The key missing ingredient is learning by doing, not training. CSO lacks data on the number of computers in the PSO’s, but one PC was recently distributed to each PSO, and the total is believed to average about two to three units per PSO. Most PSOs, however, are not connected by internet with CSO; it is expected that such a connection would help motivate PSO’s to become more diligent in collecting statistics. In other countries, it is normal for provincial staff to have much deeper experience in statistics than was observed in at the Herat PSO, where the seven staff members had no experience collecting data in the field other than price data for the CPI and the obligatory data forms from establishments. Furthermore, staff had limited background in statistics work, having moved to the PSO from jobs in other agencies over the past six or fewer years. By contrast, in Mongolia and Belarus, seniority at the regional statistical offices was observed to be much higher than at headquarters, with well over half the staff having served in statistics more than 10 years. In Indonesia, it is normal for national headquarters staff with management potential to be rotated into leadership positions in provincial and district statistical offices in the course of their careers. 4.3 ‘Learning by doing’ For the sake of motivation and immediate improvements in the CSO’s products and services, the main purpose of training should be to develop skills to be applied on the job soon (see Annex D – motivational issues). If, instead, staff are trained in topics that cannot soon be applied on the job, the value of the training will not be clear and staff may lose interest or soon forget what they have learned. This consideration suggests that the most powerful force in support of capacity development may not be training per se, but continuous on-the-job (OTJ) learning that comes from sustained participation in a recurring operation such as collecting or processing survey data. Training will help largely insofar as it supports such OTJ learning. Conversely, training will be of less use if it provides skills that are not in demand now or in the immediate future. Afghanistan National Statistical Plan 28 This approach is central to ANSP and cuts across all components - from household survey operations, to preparation of National Accounts, to dissemination and data management as well as administration. Routine household surveys will constitute a key “learning by doing” activity at the CSO under the ANSP, because of their routine nature they facilitate statistical capacity building at the CSO with a series of tasks that will provide good learning opportunities without overburdening its nascent capacity. Eventually they should involve the Provincial Statistical Offices (PSOs) as well as headquarters staff. However, the same approach is required in other areas, anchored first in elements of those areas which can most easily be built into a routine. ‘Learning by Doing’ will rely heavily on the attitude and ability of the consultants to genuinely support CSO staff and transfer skills. The approach will require the following in particular (but not exclusively!): Coach and transfer skills from consultants—who are placed to work with CSO staff on project activities--to CSO staff across all project activities, under the CSO management structure, in order to help build sustainable and institutionalized systems. This includes sensitize training to trainers and experts. Foster a culture of learning by urging CSO staff to ask questions and absorb know-how. Provide coaching sessions to CSO staff targeted for ‘learning by doing’ to make the most of the coaching and training opportunities. Organize feedback sessions for CSO staff and consultants to take stock of the learning process progress. Encourage CSO staff to make presentations and share their learning with colleagues. Measure progress and learning achievements regularly and adjust approach across all ANSP components and sub-components, for example, dissemination, household survey operations, National Accounts, data management, administration, and project management. 4.4 Training The tasks discussed here are shown in section A.2 of the ANSP and the Action Plan. In the absence of on-the-job experience, it is sometimes assumed that training can play a large role in raising capacity. Yet, although knowledge and understanding of statistical methods is much needed at CSO, the success of a training program cannot be taken for granted. Instead, success will depend on several factors including: Trainee motivation. It cannot be assumed that staff will eagerly seize any opportunity to learn, in the wake of 30 years of low performance by CSO amid a society still torn by war and disorder. Factors motivating employees towards opportunities to learn are discussed in more detail in annex D; The perceived usefulness of what is being taught. If the material being taught is said to be, and is perceived to be, highly relevant to a task that the trainee expects to perform in the near future, the trainee is far more likely to pay attention than in other cases. To take another case, if a trainee is being taught theories of sampling, whereas he or she knows that CSO does not and never has implemented any sample surveys on its own in recent memory, the trainee will be much less likely to pay attention, no matter what the skills of the teacher; Afghanistan National Statistical Plan 29 The selection of trainees. Trainees may or may not be selected to benefit optimally from a certain training, in terms of existing knowledge and motivation to learn. If the training is simply over their heads, or if they usually work in a different area from the one being taught, they are unlikely to benefit; The knowledge and communication skills of teachers. Teachers are far more likely to be successful if they: (1) have a solid command of the material to be taught on the basis of both theoretical understanding and practical experience, (2) speak the same language as trainees, and (3) have a good understanding of the backgrounds of trainees, in particular of what they do and do not already know. These considerations suggest that a teacher who is based in Kabul for several years and speaks Dari is far more likely to succeed than a visiting teacher who speaks English and spends only a few weeks in Kabul. It would unreasonable to expect too much from translators who may be assigned to assist foreign teachers. Unless the translators themselves have a deep understanding of the statistical issues, they are unlikely to succeed in translating with sufficient accuracy and empathy to bridge the language gap between teacher and trainees. Given the multiple risks of failure in training, CSO needs a well-structured training program, one that is designed to meet various operational requirements and the needs of various groups of trainees. Furthermore, any large scale training program at CSO needs built-in metrics for evaluation, so that both teachers and trainees can promptly know when there is progress and when there is none. Only in this way can CSO management consistently control for the above-mentioned risks of failure. It is therefore proposed that CSO design separate training strategies for three kinds of cases: (1) training for immediate operational application, (2) intermediate-term training to raise on-the-job skills in a broad way, and (3) long-term training to raise general skills in a broad way,. Other kinds of training – for example, training for a specific purpose but with no immediate operational application – should be kept to a minimum, at least until CSO accumulates far more experience with the first three kinds of training. The proposed metrics for evaluation are as follows: For training for immediate operational application, the metric is a simple one. A test should be given by the instructor at the end of the course, with results to be reported to trainees and to management, and to be stored in a training database. Subsequently, the extrainees will begin their operational assignment, and OTJ success or failure can be at least casually correlated with training scores. For intermediate-term training to raise OTJ skills broadly, it is proposed that CSO institute a simple system of certificates for levels of statistical knowledge. For a start, there could be four such certificates – two for high school graduates, and two for diploma or university graduates. The two levels would be “beginning” and “intermediate”. For example, a “Beginning Statistician” with a high school diploma would be expected to have certain specific levels of knowledge in regard to: Arithmetic, algebra, basic statistical concepts (such as mean), basic computer skills, and a small English vocabulary. An “intermediate” certificate would involve higher levels of knowledge, and perhaps some simple skills in technical writing. Higher standards would be set for certificates awarded to university graduates. The task would then be for CSO, together with international and national consultants, to specify the standards in detail, with technical guidelines for them, Afghanistan National Statistical Plan 30 and to prepare sample tests that would measure whether staff qualify or not for the certificates. CSO could offer staff an opportunity once or twice per year to take the tests. Table 4.1 Conspectus of training needs at CSO 1. For High school graduates 1.1 CSO training for OTJ use in Testing would be useful but is not absolutely necessary, as OTJ near future. performance will provide a good indicator of the usefulness of the training. 1.2 CSO training in basic skills, A simple system of CSO certificates for 2-3 levels of basic knowledge for including basic math, interviewing, HS grads would provide a clear evaluation tool for CSO & for the basic computer, basic English. trainees themselves. Use consultants (international & national) to develop the standards and testing tools. 1.3 Customized university program CSO should seek to partner with a local university to develop a custom- for 2-year diploma – in-service ized 2-year in-service diploma program for HS grads. Provide small (part-time) study. scholarships to CSO staff who can pass entrance exam & who perform satisfactorily as students. 1.4 Support for part-time in-service Again, CSO should provide scholarships for in-service students with B Sc study – suitable for HS grads suitable study programs and satisfactory progress. CSO can seek or diploma holders partners for this among local universities. 2. For university graduates 2.1 CSO training in advanced skills Focus on specific types of knowledge that will be utilized OTJ very soon, for university grads – based on so that trainees will be motivated to master and apply what they learn. immediate OTJ needs. Don’t train in skills that will not soon be utilized. 2.2 CSO training in basic skills for Again, a simple system of CSO certificates for 2-3 levels of basic know- university grads ledge for university grads would provide a clear evaluation tool. Use consultants to develop the standards and testing tools. 2.3 Build up statistics department at Work together with Economics Faculty at Kabul University to shape a U of Kabul, so it can offer stronger program that will provide statistics graduates for CSO and line agencies stats curriculum &, eventually, with data collection programs. Aim for both enhanced BSc & MSc masters programs. Use foreign teachers, if possible Dari speakers. In addition to trainees, other staff could be allowed to take the tests, on a voluntary basis, on the basis of outside learning (for example at a university) or self-study. The certificates could then be used by CSO for some decisions in regard to job assignments, and perhaps as well in regard to bonus payments, in ways to be decided by CSO management. In addition, the certificates would serve as confirmation to trainees of their own levels of knowledge and the opportunity to earn such a certificate would motivate staff to strive to acquire knowledge. Finally, the system of certificates would also provide CSO with a strong indicator of institutional progress in SCB. Training courses designed to raise the general understanding of staff should be designed with the goal of preparing trainees for such exams, and the exam results would in turn provide a valuable metric for the utility of various trainings. On the basis of experience, it may be necessary to modify the standards from time to time to assure a better fit between the certificates and OTJ requirements. CSO will consider outsourcing the testing process for certificates to a local university that could provide assurance of reliability and impartiality. Afghanistan National Statistical Plan 31 As regards longer-term training, the data on the educational qualifications of NRVA staff shows the importance of general education for enumerators. Diplomas and degrees are also a prerequisite for higher levels of trainability in more complex tasks. It is proposed that CSO seek partnerships with local universities, so as to benefit from their experience and skills, and their commitment to quality education. This can be done in three ways. 9 Partner with a specific university (perhaps a private one) to develop a two-year parttime diploma program that would combine general knowledge – mathematics, English, computer skills, writing skills – with two kinds of specific skills that are needed by CSO -- basic statistics and technical writing. Given the scarcity of statisticians in Kabul, the basic statistics course might have to be taught by a CSO staffer. The technical writing course could be taught by a teacher at the university using some simple writing examples gleaned from CSO staff. Project funds could be used to provide small stipends to qualified in-service students who are enrolled in such a program. There are about 300 CSO staff in Kabul with educational attainment of only 12 years and many of these would probably be interested to take advantage of such an offer because of the gain in prestige and earning opportunities from a diploma. 9 In the United Kingdom, a similar arrangement exists between the Office of National Statistics (ONS) and Southampton University in support of a two-year program for an MSc in Official Statistics; Partner with a specific university (not necessarily the same as for the 2-year diploma) to develop a department of statistics with the capacity to award bachelor’s and master’s degrees. A department of statistics does exist in the Faculty of Economics of Kabul University; it had stronger skills in the early 1970’s, but statistics professors were lost during 30 years of war, so it now has weak skills. The program could be revived by bringing in foreign professors who could teach many of the courses for a few years until Afghan professors can be trained. Foreign professors who could learn to teach in Dari would be especially valuable; Iran would be a good source for such teachers, and has provided at least one in recent years. If suitable programs could be developed at a university in Kabul and one or two foreign professors (one for statistics, sampling and related skills, another for demography and other skills such as technical writing and official statistics) could be brought to Kabul for five or six years, it should become possible to select talented Afghan students for overseas study and subsequently choose some as university teachers in Kabul, thereby to revive the teaching of statistics in Kabul. Many of the graduates of such programs would be available to work in Kabul, at either CSO or another agency. This is, to be sure, a long-term strategy, but may have a good chance of helping in a major way to build sustainable statistical capacity over the long run; Offer CSO employees who want to enrol in in-service university programs for a BSc a small stipend in support of their study at a local university on condition that they qualify and maintain a good academic record. It remains to be seen whether such a program needs to be confined to a single university or not. It is assumed that the number of staff who would wish to take advantage of this offer might be less than for the There is perhaps some risk that the existence of such a program will encourage persons with a high school diploma to seek employment at CSO in order to enrol in an in-service degree program, but this is not necessarily a bad thing and can be managed by setting quotas for the number of high school and university graduates to be recruited each year. At present, CSO faces difficulty in luring university graduates due to its small pay package. The linkage of recruitment to the number of available slots at CSO needs to be reviewed to clarify how it impacts on the inflow of university graduates. Afghanistan National Statistical Plan 32 two-year degree program, as the study would take much longer. Again, however, the opportunity to obtain a degree would substantially motivate some employees. The above guidelines can serve as a starting point for developing a training strategy for an agency that begins from a very low level of statistical performance. More diversified strategies will eventually be needed to deal with more specific tasks and skill sets. Meanwhile, scholarships for study outside Afghanistan will continue to be needed for many years, at least until a strong Department of Statistics can develop at a university in Kabul. The plan is to send two students each year for master’s study in statistics or demography and two for bachelor’s study. This training, however, is costly and involves a high risk that the student may not return to CSO. A training needs assessment together with proposed training solutions is planned for early 2010, to investigate training needs and options in more detail, to examine the opportunities for collaboration with local universities more thoroughly, and to prepare a detailed schedule for implementation. The assessment will be conducted by a team consisting of an international consultant and the advisor to the General President of CSO, Mr. Esmatullah Ramzi. Meanwhile, CSO needs to proceed with training that is urgently needed for CPH preparations. The topics include: Basic math, basic statistics, basic computer, financial and budget management, questionnaire design, data editing and imputation, CS Pro, demographic analysis, socio-economic indicators, GIS/cartography, and database management. 4.5 Statistical Infrastructure International agencies have promulgated various standard classifications for statistical use, and national statistical offices are expected to use these as frameworks for developing national classifications in their own language, with local examples. CSO has not yet begun to do this, and now proposes to do so, beginning with the most-frequently used classifications: The International Standard Industrial Classification (ISIC); The Central Product Classification (CPC); The Harmonized System (HS) for imports and exports; The International Standard Classification for Occupations (ISCO). After a CPH, a Master Sample is often prepared in other countries for use in drawing samples until the next census. It contains information about the socio-economic characteristics of the population in each of the areas identified for the Master Sample, and facilitates the process of drawing a sample according to the requirements of any particular survey. Good GIS information will be important in support of the Master Sample. A Business Register is recommended for purposes of tracking births and deaths of large and medium establishments as well as for use as a sampling frame. CSO has a list of about 1800 large and medium establishments that it updates from year to year, but there are serious questions about both the completeness of the list and about its possible in- Afghanistan National Statistical Plan 33 clusion of many out-of-scope establishments. This matter was discussed in sub-section 2.6. 4.6 Dissemination As a modern statistical agency serving the needs of many other agencies at the national and local levels, CSO is committed to creating a transparent environment that will maximize the opportunities to use its data. CSO will soon begin to sell its Statistical Yearbook and other publications without requiring a letter and will take steps towards providing extensive source notes in the yearbook that will assist users to interpret the statistical data and to assess any apparent anomalies. CSO is developing its website. An early version is now online, and further enhancements are anticipated soon. After the new site is fully built, the next task will be to post data on the web. For a start, CSO could post monthly updates for the CPI and trade data, as well as frequent updates for national accounts. Another critical form of data dissemination has to do with micro-data. When dissemination of micro-data is restricted, as used to be the case in many countries, data users are limited to analyzing the tabulations released by the statistics office. This greatly limits the usefulness of the data. Year by year, however, it is becoming more and more common for statistical offices to disseminate micro-data (with identifying information removed) in the form of databases for use by researchers. Users are no longer satisfied simply to receive tabulations of the data and wish instead to be given the opportunity to make their own tabulations based on their own needs or hypotheses. For this reason, the practice is less and less to hoard data on computers within the statistics office and more and more to share access with outside users and researchers, while of course disguising the identity of the respondents. Increasingly, moreover, statistical offices are using the web to enable users to query micro-data sets online. In this context, CSO wishes to do its part to make its data available online, starting with the results of the HHL down to the village level. This would lead to a massive improvement of data use in Afghanistan, and would raise the profile of the CSO considerably. Care is needed of course to respect guardianship of the CSO and confidentially of the respondents. Afghanistan National Statistical Plan 34 5 Administrative Data CSO collects administrative data from many GoA agencies and uses this data to prepare its national accounts and to publish in the Statistical Yearbook. In addition, some line agencies collect some survey data; increased coordination is needed for such data as well. The administrative data is collected through standard CSO forms that each line agency must fill out; many of these forms were developed in the Seventies and Eighties and have not much changed since then. For example, one question asks each agency how many vehicles it operates. The Ministry of Public Health (MoPH), for example, perceives the question as outdated, as it ignores the fact that over 80 percent of primary care is carried out not by the MoPH itself, but by NGOs on contract with the MoPH. CSO has long collected data from line agencies, but the situation is now changing as some line agencies develop their management information systems (MIS) in a substantial way. It is now proposed to conduct a statistical audit that will take stock of the available data from line agencies and, at the same time, examine whether the agencies could collect other data through their MIS, data that would benefit both the line agency and CSO. In addition, the audit will give CSO the opportunity to consider whether CSO should change the way in which it collects data from the other agencies. If, in addition, it is wished to review simultaneously the suitability of the administrative data for the purpose of monitoring the Afghan National Development Strategy (ANDS), consideration would need to be given to harmonizing CSO’s role with that of other coordinating agencies. The audit process will begin with a pilot study for auditing, capacity building and data development at three agencies, funded by UNDP. The agencies are: Ministry of Women Affair, Ministry of Labour and Ministry of Commerce and Industries. After the pilot, there will be an assessment of its implications for further work at line agencies in terms of a statistical audit as well as possible steps for building capacity at MIS and statistical units outside CSO. In addition, the pilot will also provide study tours and other activities to enhance statistical activity in the other agencies. UNDP has agreed to fund the pilot in the amount of $150,000. An interesting possibility is for CSO to build statistical capacity in other agencies by providing training. However, this approach will require a very careful needs assessment, for two reasons: As a rule, other agencies will be in far less need of sampling or other statistical skills, since most of their activities involve administrative data. It would be misguided to train the agencies in skills that they do not need; It will be far more difficult for CSO to assess the training needs of other agencies and to assess the usefulness of training for staff of those agencies than for CSO itself. Afghanistan National Statistical Plan 35 Article 5 of the Statistics Law of 1 Jan 2006 created a National Statistical Council (NSC) -- a recommendation of the 2004 Statistical Master Plan -- to be chaired by the Vice-President of the Islamic Republic and scheduled to meet twice a year. The council, however, has not yet played an active role in coordinating statistical activities across agencies. In order to improve coordination, the NSC needs to create a technical committee that could meet more frequently and discuss matters at a technical level. Afghanistan National Statistical Plan 36 6 Information & Communication Technology ICT has played a leading role in recent capacity building at CSO, particularly for census mapping by the GIS unit and data entry for NRVA by another unit. During the next years, ICT will continue play an important role in SCB in Afghanistan. Each PSO now has at least one computer that was distributed in 2008, and many have more than one, but a full count is lacking. The PSOs do not as a rule have internet connections or scanners. CSO now proposes to connect all of the PSOs to internet at a cost of $2,000 per office. Electricity supply is not reliable in many PSOs, and in such cases CSO supplies generators and fuel so as to operate computers when needed. An internet connection would make it much easier for the PSOs to send data, such as CPI data, and to receive instructions. Scanners would become quite useful for PSOs when they are connected by internet. A monthly payment for internet service in the PSOs will be required but the amount is not yet known. Table 6.1 Inventory of PC’s & Peripherals Personal computers Printers 2002 47 2002 15 2004-05 26 Pre-2005 7 2007 55 2006 15 2007 5 Scanners Plotters 2004 2 2005 1 2006 2 The stock of computers at CSO needs to be modernized and expanded gradually. A recent casual count of computers at CSO found 173 units, of which 51 were in the computer hall and the rest in individual offices; many of those in individual offices were said to be broken or not very usable. An inventory of computers at CSO based on available administrative data showed only 128 units, of which 47 were Compaq’s from 2002, 21 were Dells from 2004-05, 5 were Samsungs from 2005, and 55 were Dells from 2007. Many of the 42 PC’s that are missing from this inventory are likely to be old. All these PC’s will be replaced in stages, at a rate of 30 per year. In addition, CSO plans to add 15 PC’s per year for use in individual offices and in PSO’s. All PC’s need to be provided with Uninterrupted Power Supply (UPS) units. In addition, the stock of printers needs to be modernized: 22 of the 42 units in use are from 2005 or before, and another 15 are from 2006; these will gradually become outmoded during the life of the ANSP. Finally, CSO needs more scanners, beginning with one for each PSO. Only three are shown in inventory for CSO, none are known to be used in the PSO’s. Afghanistan National Statistical Plan 37 Upgrading of the network and servers is also needed, but specifications for this are not yet available. The GIS unit at CSO now utilizes hardware and software that are fairly new and are adequate for the task. GIS activity will begin to wind down during and after the planned CPH, but a small GIS unit of, say, five staff should be maintained in preparation for the next census. For this unit, equipment and software would need to be replaced in 2013, by which time it would be five years old. Software at CSO needs to be upgraded. As Windows 7 is now appearing on the market, this would be a good time for CSO to negotiate a mass purchase of Windows 7 licenses at bargain rates, in anticipation of its acquisition of many new PC’s under the ANSP. An important side benefit would be that users could download the Microsoft antivirus package for free, so there would be no need to purchase anti-virus software separately. Viruses are rampant at CSO, with many PC’s lacking protection. CSO also needs SPSS and STATA licenses. Finally, CSO needs to move towards establishing a data warehouse to manage some of the databases for which it already serves as a repository – HHL 2005, NRVA, IBES – and to anticipate the databases that will be created by the CPH and the surveys that are planned. The SuperSTAR application (www.str.com.au/SuperSTAR.htm) provides a generic solution for data warehousing needs, one that is designed for on-line analytic processing (OLAP) and avoids the need to custom program a system for CSO. The application uses built-in international metadata standards. “SuperSTAR is an OLAP package developed especially for national statistical offices. This is a package that is used by many developed countries national statistical offices, and is widely considered to be the industry leader in the field of OLAP of the survey and census data. It is yet to be used widely in the developing world, but there are existing successful implementations with the national statistics office is in Tanzania and Namibia. The UN is beginning to show interest - FAO is currently negotiating a SuperSTAR licence for FAOSTAT data. Significant discounts are available to the United Nations system and developing country statistical offices for what is otherwise very expensive software.”10 Similar programs may be on offer by other vendors as well, so CSO does not need to develop its own application along these lines. 10 Andrew Pinney, “SuperSTAR online analytical processing software for improving access to the data of a national statistical system”, a note prepared for the Cambodian statistics office. See also: “White Paper: SuperSTAR for Statistical Agencies”, Space – Time Research, January 2007. Afghanistan National Statistical Plan 38 7 Physical infrastructure The main physical infrastructure investment under the ANSP would be the construction of a Statistical Training Center (STC) within the existing perimeter of the CSO grounds. The building would include three stories above ground plus a basement, for a total of four stories, each 13 x 18m, equivalent to 234 square meters, so the total floor space for all four floors would be 936m. It is estimated that the cost of the basic building would be no more than $600,000, while the cost of finishing and equipping five rooms for training would be no more than $150,000. In discussions about the need for an STC, some concern has been expressed about whether training activities at CSO will really be as intensive as anticipated in the CBP of 2008. Even if training activities are less intensive than anticipated, however, much of the space in STC would eventually be needed as working space for CSO staff, most of whom now work in cramped conditions, with four or five persons to a room. The need for additional space would develop as educational levels rise and more and more staff are assigned their own PC. It is also intended that the STC would provide space for a statistical library with internet facilities and a dissemination unit including a print shop in the basement. The cost of the library is shown separately in the action plan, while the cost of the dissemination unit is not included in the plan. A final task for physical infrastructure is the construction of PSO offices and the rehabilitation of the PSO office for Kabul. Most of the PSOs lack their own separate office buildings, instead they occupy a room in a provincial government office building. A much more challenging task, however, will be to integrate the PSOs fully into capacity building activities, particularly those involving learning by doing. For this reason, CSO will focus on capacity building at the PSO level, with construction of offices proceeding stepwise and playing a supporting role. This task is recommended for GoA financing, and will be suitable for implement in two or three provincial capitals per year. Afghanistan National Statistical Plan 39 8 Project cost and administration Administration of the project will involve both a Project Implementation Unit (PIU) and an advisory group in statistical capacity building (SCB). The PIU will track budgeting and monitor implementation. It will be headed by an international consultant and staffed mainly by national consultants, with CSO staff involved to the maximum extent feasible. The PIU will document budget requirements and actual spending; this will satisfy donor requirements and will also provide CSO with experience in managing transparent budgeting and procurement procedures; Monitoring is needed to support quarterly progress reports on implementation as well as systematic comparisons between plans and implementation. This activity will provide CSO staff with experience in managing project implementation. Overall, a flexible approach is recommended for planning the work. Given both the difficult situation in Afghanistan and CSO inexperience in collecting field data, delays are unavoidable. Inflexible planning was one of the reasons cited for the failure of an earlier ADB project to raise capacity at CSO. For advisory services, a twinning arrangement is recommended, subject to competitive tendering. This would involve a standing arrangement with a statistical agency in a more advanced country or a consortium of such agencies to provide consultants for SCB and to coordinate their work to ensure a harmonized approach. Involvement of a statistics agency would help ensure the coherence of advice from the various consultancies to be provided and a consistently professional approach. Afghanistan National Statistical Plan 41 Annex A – Analysis of NRVA and MICS questionnaires An analysis of the lengthy questionnaires used for NRVA 2007-08 (see table 1) shows that expenditures accounted for one of the 14 sections in the men’s questionnaires and one for the six sections in the women’s questionnaire. In sum, therefore, expenditures accounted for two of 20 sections, or 10 percent, in terms of sections. Nevertheless, the percentage of time (in terms of the average number of minutes required to complete the sections) must have been much higher than the percentage of mere number of sections, given the level of detail involved in a full expenditure module. Table 0.1 Questions in NRVA 3 Male Questionnaire 1 Household Register 9 questions, repeated for all HH members 2 Housing and Utilities (includes Water) 44 questions 3 Livestock 16 questions 4 Agriculture 57 questions 5 Assets and credit 27 questions, with 5 repeated for up to 13 kinds of durables 6 Education 11 questions repeated for members age 6+ 7 Disabilities 15 questions for all HH members 8 Sources of Household Income 4 questions, 3 repeated for multiple activities. 9A Labour for members 6-15 Years of Age 16 questions repeated for members 6-15. 9B Labour and migration of HH members 16 years + 34 questions repeated for members 16+ 10 Cash-for-work and food-for-work 11 questions 11 Migration and Remittances 15 questions repeated for members who’ve moved 12 Household Expenditures 32 questions 13 Household Shocks & coping strategies 6 questions, multiple answers allowed. 14 Final male interview questions 10 questions away. Women’s Questionnaire 15 Food consumption in last 7 days Only 6 questions, with 3 repeated for dozens of commodities. 16 Iodized salt, avian flu, HH expenses 11 questions 17 Number of children born and marriage information 27 questions for “ever married” women 18 Recent births (children born since August 2005) 28 questions 19 Immunization and child health – for children under 30 questions 5 20 Women’s activities (for all females in HH, ages 44 questions 10+) The draft MICS questionnaires have been analyzed, and the results are shown in table 2. Afghanistan National Statistical Plan 42 Table 0.2 Questions in NRVA 3 Male Questionnaire 1 Household Register 9 questions, repeated for all HH members 2 Housing and Utilities (includes Water) 44 questions 3 Livestock 16 questions 4 Agriculture 57 questions 5 Assets and credit 27 questions, with 5 repeated for up to 13 kinds of durables 6 Education 11 questions repeated for members age 6+ 7 Disabilities 15 questions for all HH members 8 Sources of Household Income 4 questions, 3 repeated for multiple activities. 9A Labour for members 6-15 Years of Age 16 questions repeated for members 6-15. 9B Labour and migration of HH members 16 years 34 questions repeated for members 16+ + 10 Cash-for-work and food-for-work 11 questions 11 Migration and Remittances 15 questions repeated for members who’ve moved 12 Household Expenditures 32 questions 13 Household Shocks & coping strategies 6 questions, multiple answers allowed. 14 Final male interview questions 10 questions away. Women’s Questionnaire 15 Food consumption in last 7 days Only 6 questions, with 3 repeated for dozens of commodities. 16 Iodized salt, avian flu, HH expenses 11 questions 17 Number of children born and marriage 27 questions information for “ever married” women 18 Recent births (children born since August 2005) 28 questions 19 Immunization and child health – for children 30 questions under 5 20 Women’s activities (for all females in HH, ages 44 questions 10+) The question arises whether MICS and NRVA could be combined in a single survey. Comparison at the level of questionnaire sections indicates the likelihood of considerable overlap between questions in the MICS and NRVA 3. It is difficult, however, to see how the two surveys could be combined inasmuch as MICS itself (being the more comprehensive survey in terms of the health of women and children) involves long, exhaustive questionnaires for each woman and child under five in the household. Moreover, the MICS includes specimen collection and anthropomorphic measures that require some specialized training. NRVA for its part is likely to evolve into a core NRVA questionnaire that will not include so many questions about the health of women and children. Afghanistan National Statistical Plan 43 Annex B – Comments on CSO Capacity Building Plan: Items for Omission or Re-specification Nr Reviewer’s comment CBP proposal Proposed disposition A. Institutional Development and Capacity Building A.1 Organizational Development A.1.2 Directory of Statistical outputs Quarterly A.1.6 Conduct of Basic Training Continuous 892,320 A.2 Statistical Infrastructure Development A.2.1 More useful if presented not as a directory but in the form of extensive source and technical notes to the Statistical Yearbook & web links. Re-specify. Annual is sufficient. Do a careful training needs assessment first. A scattershot approach to training is unlikely to have much impact on capacity, a strategy is needed addressing motivation and certification issues. Need to break out basic & advanced training. How many trainees per level?? Need also to focus mainly on 2 kinds of training: that for prompt operational application & that for certification. Re-specify to clarify training strategy (see report) Development and Implementation of Household Master Sample 2-times; 62,000 Once is enough, should follow CPH in order to utilize characteristics found in CPH. Once after CPH. A.2.3 Development of Sampling Design for establishments surveys 2 times 44,000 This might make sense after census, but such a census is not scheduled yet and should be preceded by exploratory studies. Do after Establishment Census. A.2.4 Updating the List of Establishments 4 times 480,000 The need for this kind of field work is unclear, as it should be possible to update the list of existing establishments at minimal cost through routine reports. The question mark has to do with the Omit until a clear strategy emerges. Afghanistan National Statistical Plan 16,800 45 possibility that large, new establishments are somehow missed; this needs to be tested. A.3 ICT and Physical Infrastructure Development A.3.6 Re-construction of CSO Printing Press One time 158,400 CSO clearly needs equipment for printing forms, such as census forms; this is being provided by UNFPA in connection with CPH. Whether CSO also needs equipment for printing books at this time is not so clear. Few books to be printed each year, still more efficient to outsource than to build capacity for publishing books. Omit. A.3.8 Provision of 11 cars for Department Directors The cars are due to CSO by law; therefore, would be funded by the GoA. However, this step is not essential to SCB. Omit A.3.9 Provision of Motorcycles for 364 District Officers One time 218,400 Unnecessary at this time. There are no district officers as yet, only provincial ones. If this is needed for census, census should cover the cost Omit A.3.10 Maintenance and Repair of vehicles Regular 560,000 Repair costs on vehicles previously donated to CSO will be paid by the CPH budget and can be dropped from CPB. Omit A.3.11 Renovation of CSO Kabul Office One time 65,000 This task is in line with the construction of new PSO buildings so the Kabul project will be grouped with the construction of PSO offices. GoA should pay. A.3.12 Construction of Statistical Training Center One time 1,768,400 4 stories, 900 m2. Needed in support of training effort, library and printing department. The cost can, however, be cut by more than 50% by focusing on 2 priority aspects: Basic construction, & finishing of 5 training rooms. Re-specify with smaller budget. This is a survey of offices – government, private and NGO’s. Begun in 2009, to be finished in 2011. One time. COST? Do once and then review. No need to plan for repeats. B. Strengthening CSO Position & Enhancing its Visibility B.1 Household Sample Surveys B.1.1 Survey on Participation of Women and Men in Decision Making 3 times 615,000 Afghanistan National Statistical Plan 46 B.1.2 Multiple Indicator Cluster Survey, 3 times, 4,500,000 UNICEF sponsors. This is a very detailed HH survey that focuses on health of children & mothers. Impossible to combine with NRVA. MICS previously done in 2003, with poor success. Do once as already planned, 2010. B.1.3 Labour Force Survey Annual 15,394,000 Afghanistan does not need a separate annual LFS. Unemployment is not a very meaningful concept here due to the small share of salaried employment in the LF. Employment numbers would be useful once every few years. No need for a separate LF survey, collect as an occasional NRVA module. Re-specify as NVRA module. B.1.4 Household Income and Expenditure Survey 3 times 15,394,000 Last done 1987. Much needed for rebasing CPI weights. However, the survey technique is quite demanding on enumerator capacity. Best therefore to begin with an HIES for Kabul alone (sample 1000 hh), to be followed by the other cities in a year or two. Kabul HIES in 2012. Other cities in 2014. B.1.5 Child Labour Survey Would be suitable as an occasional module for an annual NRVA. Has never been done. Re-specify as NRVA module. B.1.6 National Demographic Survey One time, 1,510,000 This would overlap considerably with MICS. Never been done and not needed soon. Omit B.1.7 National Health Survey One time 1,430,000 This would also overlap considerably with MICS. Not needed soon. Was done by MoPH in 2006. Omit B.1.8 National Risk and Vulnerability Survey 2 times 10,400,000 A core survey is needed annually for tracking poverty. Use modules for special topics. 21,000 households. To adjust for seasonal variation, best to collect data four times per year. Call it MultiPurpose Household Survey. Annual core survey, starting 2010, with modules from 2012. B.1.9 Census of Agriculture One time 71,000,000 A Census of Agriculture has never been done & is not so urgently needed as a CPH. Moreover, the CPH can be used as a sampling frame for broad agricultural surveys, since 55 percent of households are involved in agriculture. FAO experts can help design. Re-specify as survey, to be implemented 2 yrs after CPH. B.2 Establishment Statistics B.2.3 Small-scale survey on Agriculture One time 72,000 Combine with the survey mentioned under item B1.9. No separate survey Afghanistan National Statistical Plan 47 Annex C - The demand for data C.1 Main findings Interviews were conducted with representatives of seven agencies, six of them outside CSO. The main findings: 1. Detailed population data, down in some cases to the village level, was the most frequently and emphatically mentioned data item. This data can only be known through a census. The existing projections are sorely out of date, as the most recent census was held in 1979; 2. Trade data were mentioned by three agencies, one of which (the central bank) raised issues about data reliability; 3. CPI data were mentioned by three agencies; 4. Labour force data were mentioned by three agencies, two of which mentioned employment by sector and three of which specifically mentioned unemployment. The usefulness of unemployment rates for Afghanistan will be discussed below; 5. National accounts were mentioned by only two agencies; 6. Detailed sectoral data from the household survey (National Risk and Vulnerability Survey, or NRVA) were mentioned by two agencies; 7. Surprisingly, poverty data was mentioned by only one agency. This kind of “popularity contest”, although it provides useful insights, cannot by itself be used as a reliable basis for setting statistical priorities, for three reasons. First, the reasons that prompted people to mention certain data items and to neglect others are not always clear. Second, nor is the logic behind certain data requirements always clear, as will be explained in the case of unemployment data. Third, some of the required data is difficult to obtain and unlikely to be collected by CSO in the near future – such as data for capital stock, foreign direct investment (FDI) and some of the other data required by Da Afghanistan Bank (DAB). In contrast, other data items, such as those mentioned by the Ministries of Education and Public Health, are suitable for collecting in household surveys and are in fact well available from the NRVA. Another source for reviewing data demands is the monitoring plan for the Afghan National Development Strategy (ANDS), which appears in the first annual report on implementation. This monitoring plan, however, did not take account of data availability for some sectors, and is now being revised at the recommendation of the monitoring unit in the Ministry of Economy. In future, it is recommend that CSO create a small team to work with the sectoral agencies as they formulate their monitoring plans, to ensure that data availability and the feasibility of collecting any new data at CSO are duly considered when preparing monitoring plans. Indeed, in the formulation of desired ANDS outcomes, it would be well to avoid (as much as possible) targeting outcomes that are difficult to monitor. Unfortunately, it was not possible to discuss data needs with the various UN agencies, as most of their international staff was withdrawn shortly after this consultant’s arrival in Kabul. Afghanistan National Statistical Plan 49 C.2 The unemployment rate The interest in knowing the unemployment rate appears to stem from a need to plug the rate into macro-economic models that are borrowed from more developed countries. It is suggested that analysts look for ways to substitute other, more sensitive indicators of labour market slack for the unemployment rate. The unemployment rate is critical for monitoring labour demand in advanced economies in which most workers (often 90%) have wage and salary jobs, making them highly dependent on employers, and where governments provide partial earnings replacement to the unemployed, enabling them to remain in an unemployed status for long periods. In less developed countries, however, wage and salary employment is relatively rare, and the predominant "status in employment" categories are instead self employment and family workers, who rarely find themselves unemployed, although their earnings may be abysmal. In Afghanistan, the NRVA found that salaried employment accounts for only 12 percent of employment, while day labourers account for another 20 percent. As no unemployment compensation system exists for Afghanistan, most people simply cannot afford to be unemployed. A person without a job will have no choice but to engage in some kind of income-seeking activity that, under the ILO concept, is considered employment. Day labourers, in particular, may not be much subject to unemployment in Afghanistan because wage rates probably fluctuate to clear the market. In advanced countries, the stickiness of wages contributes substantially to the unemployment problem. A meeting at CSO in late October provided a fine example of the confusion about “unemployment” in Afghanistan. The NRVA for 2007-08 had yielded an unemployment rate of 7 percent, and the President of CSO was distressed by the disgruntlement of the Minister of the Economy over this finding of a low rate. Much time was spent discussing whether this finding should be withheld or presented in a different context so as to undercut the disappointment of the Minister of Economy and his stated refusal to accept this finding. The discussion provided an excellent lesson in the low utility of the unemployment concept for Afghanistan. India, at least until recently, conducted a Labour Force Survey only once every 5 years, in large part probably based on similar considerations about the questionable utility of an unemployment measure. This may have changed recently as the Indian economy has begun to develop more rapidly. The NRVA found that the poverty rate was about the same for unemployed and employed persons, showing that unemployment has little impact on welfare in Afghanistan. Moreover, it found that persons who worked more than 40 hours a week had very high poverty rates. All these findings point to the conclusion that: the main labour market problem in Afghanistan is not unemployment but inadequate earnings. A more buoyant labour market would certainly tend to raise earnings, but it is unclear whether the unemployment rate can serve as a sensitive indicator of labour market buoyancy, as the unemployment rate here appears to be mainly sensitive to a small segment of the labour market. Afghanistan National Statistical Plan 50 * Ministry of Finance *** ** * ** * * * ** *** Other needs mentioned National accounts Illuminate discrepancies Poverty rates by province ** Trade data ** CPI Da Afghanistan Bank Employment by sector Unemployment Population Conspectus of Expressed Data Needs User Table C.1 Capital stock by sector, citizens living outside Afgstn, remittances, FDI, Improved trade data to minimize discrepancies. Regional GDP by zones. ** Ministry of the Economy Ministry of Rural Reconstruction and Development *** Accurate population data at village level. Ministry of Education *** Ministry of Public Health *** Need population by district & age, literacy rates, enrollment rates, out-of-school kids. Need population by village & by age, if possible. Also health characteristics World Bank ** ** Sources: Da Afghanistan Bank Ministry of Finance Ministry of the Economy MRRD Ministry of Education Ministry of Public Health World Bank National Accounts Dept, CSO Afghanistan National Statistical Plan ** ** ** ** National Accounts Dept, CSO *** -- Emphasized by user ** ** -- Mentioned as important Matiullah Faeeq Zia-Ur-Rahman Haleemi Moh. Rahimi Ismail Craig Naumann Paul Curran Hameedullah Sherani Dr Moh Ashraf Mashkoor Dr. Yoichiro Ishihara Ismail Naimi Establishment data, HIES for reweighting of CPI baskets. * -- Mentioned in passing DG, Monetary Policy Dept Head, Fiscal Policy Unit Poverty Expert International Development Consultant MIS Advisor Systems Analyst, EMIS National HMIS consultant Senior Economist, Kabul office Head 51 Annex D – Motivational Issues and the Historical Context As mentioned in the 2004 SMP, CSO and the entire government are “emerging from a period of prolonged civil disorder” and indeed of civil war, “with virtually everything destroyed or non-functional. This is further compounded by shortages of virtually everything from finances, to continued security concerns in parts of the country, to a pressing need to upgrade human resources, materials and equipment and improve the physical working environment.” Under these circumstances, it is important when crafting a new plan to take account of some challenging issues of “cultural change” (as mentioned in the ADB TA assessment) and staff motivation. Real development, after all, requires creative actions by many, many participants, without which big projects can fail no matter how much funding is made available for the work. Consider the implications of this model for training to build capacity. We begin with the principle that successful training depends heavily on the motivation of trainees to strive for professional advancement. This motivation, in turn, requires a long planning horizon and confidence in the future on the part of each trainee. In, however, a context of poverty and adverse working conditions, such striving cannot be taken for granted. For the sake of good motivation, the main purpose of training should be to develop skills to be applied on the job soon. If, instead, staff are trained in topics that cannot soon be applied on the job, the value of the training will not be clear and staff may lose interest or soon forget what they have learned. This consideration suggests that the most powerful force in support of capacity development may not be training per se, but continuous onthe-job (OTJ) learning that comes from sustained participation in a recurring operation such as collecting or processing survey data. Training will help largely insofar as it supports such OTJ learning. Conversely, training will be of less use if it provides skills that are not in demand now or in the immediate future. It is often urged that basic training should be provided to many CSO staff in order to improve their numeracy and understanding of basic statistical concepts. The question remains how to motivate the trainees to master the materials presented, to remember what they have learned afterwards, and to seek additional knowledge on their own. One way to do this would be to offer voluntary tests periodically, perhaps annually, which would serve to assign a level of statistical knowledge to workers, with certificates to be awarded for various levels. In addition to motivating trainees, such ratings would be useful in two ways for CSO – they could (if it is wished) be used in selecting staff for promotion and for overseas training, and they would provide an objective metric of the overall development of statistical knowledge at CSO. For more advanced training, there is much to be said for building up a statistical education at a local university, perhaps Kabul University, as this would in the long run provide Afghanistan National Statistical Plan 53 a more disciplined framework for both developing training programs and testing what has been learned, not to mention the prestige of a university degree. The linkage of dissemination to capacity development deserves similar consideration. The more widely the data are disseminated and used, in both aggregate and micro forms, the more that users will focus attention on, and provide feedback to, CSO. This in turn will create among CSO staff a feeling of importance that will motivate them to work better and master the skills required. Conversely, to the extent that data is hoarded, users will ignore CSO and staff will lack a sense of the importance of their work. Finally, a key issue in statistical capacity building that is often overlooked is the determining role of educational attainment. The potential for capacity development, whether through training or OTJ learning, differs enormously between university and high school graduates. The available historical information on the number of university graduates at CSO confirms slow growth in the share of university graduates among CSO staff. Obviously, statistical capacity at CSO could grow much faster if university graduates constituted 20-25 percent of permanent staff instead of only 12 percent as at present. It is not yet clear how the share of graduates could be increased sharply in the next few years, but one possibility needs urgently to be explored. The ability of CSO to attract university graduates will depend greatly on remuneration relatively to that paid by other employers. As it happens, the new government pay system called Pay and Grading provides for higher salaries, and CSO needs to get involved as soon as possible. Another possibility is for CSO to use some project funds to pay bonuses to staff for completed ANSP work. This would help motivate staff to perform more effectively. Another possibility is to explore ways that CSO could offer perquisites that would keep staff attached for long periods. Other agencies in developing countries have had some success with such an approach, despite low salaries. The perquisites range from apartments in some countries, to scholarships and opportunities to earn extra money through statistical projects. One interesting possibility at CSO would be to explore ways to create an educational program at Kabul University or a private university, specially designed for CSO staff and offering the prospect of a diploma or bachelor’s by way of night courses. If a suitable program could be created in a short time, project money could perhaps be used to support the program and to provide scholarships for in-service students. In planning for capacity development, in sum, staff motivation is fundamental. The main thing is to manage successfully the factors that can either motivate staff to join CSO and to learn and work or, conversely, undercut such motivation. It is not clear to what extent statistical training for staff of statistical units in line agencies of the government can be expected to lead to an improved flow of data from other agencies to CSO. Generally speaking, there is a fair prospect of success if one first builds a system (for example, an MIS in a line agency), then provides training in how to use the system, but not such a good prospect of success if one first provides training then expects the trainees to develop an improved system of data collection. If CSO sticks to the principles mentioned earlier in this report, statistical training for staff of other agencies would have to fall into one of the three cases mentioned in section 4.3 above. Afghanistan National Statistical Plan 54 Annex E – Revised and annotated capacity building plan matrix for 2010-16 This is a list of activities which updates and strengthens, in view of the approach described under part I, an earlier plan that CSO prepared during 2008-09 called the “Capacity Building Plan” (CBP) or the “7-year plan”. The CBP was a rather costly wish list that was based in large part on inputs from data users without adequate considerations for an overall approach and coherence. Recommendations of a previous Statistical Master Plan, presented in 2004, were also reviewed, but the CBP, being more recent, was considered more suitable as a starting point for this list, from which the ANSP Action Plan presented in part II was then derived. Nr CBP proposal Comment When? A. Institutional Development and Capacity Building A.1 Organizational Development A.1.1 Workshops, Seminars and Conferences Needed to improve communication with other agencies, users & the general public. As needed. A.1.2 Revisiting Statistics Law Important, based on advice by UNFPA consultants from Iran. CSO has proposed to parliament, but consideration has been delayed. 2012 A.1.3 Administrative re-structuring of CSO UNFPA team proposed 18 departments, of which 10 for statistical areas. 2011 or 2012. A.1.4 Study Tours for senior managers Useful to develop a vision of what’s needed at CSO. Suitable for motivated senior managers. 4 persons per year A.1.5 Prepare to join the new Pay and Grading system for civil servants. This will require preparing job descriptions for all employees and other prerequisites. National consultants can help to prepare the application. 2010-12 Afghanistan National Statistical Plan 55 Nr CBP proposal Comment When? A.1.6 Prepare a strategy for using some project funds to pay bonuses for results, as in some other agencies. Without the hope of earning a bit more, there is a high risk that trained staff will fail to see the advantage of donor assistance. Some may take higher paying jobs outside the civil service. 2010 A.1.7 Develop a long-term strategy for increasing the share of diploma and university graduates at CSO. Set goals. At present the share is 13% for university grads and 5% for diploma grads. The objective by 2016 is to reach xx% and xx%? Share to be increased by means of additional slots for grads & a better compensation package (including perks). 2010-12 A.1.8 Utilize national consultants as needed, while avoiding over-dependence. Utilize national consultants selectively to (a) transfer knowledge and/or (b) do one-off tasks that involve non-statistical skills. Continuous A.1.9 Build capacity in the PSO’s, based mainly on learning by doing. Assess PSO capacities then assign PSOs a series of tasks of graduated difficulty, so that they can develop capacity with OTJ learning. Internet connections will support this. Continuous A.2 Training A.2.1 Training courses at CSO, designed for targeted impact – in two components. (1) In support of CPH, (2) in support of long-term capacity development. Design training for targeted impact. For non-CPH, start slow with an enhanced training program, to learn from experience. Identify evaluation metrics from the start. Re-specify based on training needs assessment in 2010. Some part-time teachers could be hired from universities in Kabul. Continuous A.2.2 To support CPH operations, offer short courses in relevant subjects for staff who will have roles in CPH. “Just in time” training – e.g., train for CPH just before CPH. Better to minimize use of short courses for subjects that cannot yet be applied. 2010-11 A.2.3 Training needs assessment Elaborate on a ramified, structured strategy for using training to build capacity in a targeted and measured way while gradually developing a sense of commitment by CSO staff. Early 2010 A.2.4 Scholarship for Master's & Bachelors’ Degree in neighbouring counties. Each year 2 for BSc, 2 for MS. Can provide skills needed by CSO and serve as an incentive for CSO staff. 4 person per year Afghanistan National Statistical Plan 56 Nr CBP proposal Comment When? A.2.5 Develop a system of certificates for basic competence levels within CSO, then orient training towards certification to provide benchmarks for trainees and CSO. Begin with a simple system of 2-3 levels of competence for high school grads, and 23 levels for university grads. Develop specs and tests for each level. Use national & international consultants to develop the specs. 2011-12 A.2.6 Partner with a local university to develop a 2-year diploma program customized for CSO staff. Among 300+ high school graduates at CSO, many would be interested such a program. Scholarships for in-service study for those who pass an entrance exam. 2012-13 A.2.7 Provide scholarships for in-service students who pursue a bachelor’s degree in Kabul. CSO needs to increase the share of employees with university degrees, and this is one way to do so. From 2011; preparatory tests in 2010. A.2.8 Partner with a local university to initiate development of degree programs in statistics. Develop plans to set up a statistics program and bring in professors from neighbouring countries. The professors could also teach occasional short courses at CSO. 2011-14 A.3 Statistical Infrastructure Development A.3.1 Development and Implementation of Household Master Sample Follows CPH so as to utilize characteristics found in CPH. 2013 or 2014 A.3.2 Improvement of population estimates/projections Critically needed by users. Can be done after CPH, or even after household listing if CPH must be postponed. 2012-13 A.3.3 Development of Sampling Design for establishments surveys Not needed until after a Census of Establishments. 2016 A.3.4 Updating the List of Establishments Cost of routine updating is minimal, but CSO needs first to conduct a pilot study to investigate the completeness of the register. A.3.5 International Standardization/ customization of concepts & classifications Begin with ISIC, CPC, HS, and ISCO Afghanistan National Statistical Plan One classification per year will suffice. 57 Nr CBP proposal Comment When? A.4 Dissemination A.4.1a Eliminate need for a letter for purchasers of the Statistical Yearbook & other pubs. Such a letter is only supposed to be required for free copies, but in practice is still required as well for paid copies. 2010 A.4.1b Add extensive source notes to Statistical Yearbook, (formerly “Directory of Statistical outputs”). The info will be more useful if presented not as a directory but in the form of extensive source and technical notes to the Statistical Yearbook & web links so that users can immediately view data. Starting in 2010, with results reflected in 2011 edition A.4.2 Decide on dissemination policy & announce on the website that micro-data is available to researchers under certain conditions. Implement the policy. A clear dissemination policy does not yet exist and many users are not yet aware that the data (with identities removed) may be available for research. 2010 A.4.3a Improvement of CSO Website: Phase 2 Phase 1 said to be nearly finished. Phase 2 is needed further to facilitate data transfer. Phase 1 2009, phase 2 2010-11 A.4.3b Create an interactive web-based database for the HHL, enabling users to define outputs meeting specific needs. The data on the number of households per village is important for planners at the national and local levels, so that wide access to this data is appropriate. The data can be configured in such a way as to protect the privacy of each individual HH. A.4.4 Setting up of AFGHAN Info Center The Afghan equivalent of DevInfo. Useful for dissemination, though based on old technology. Work has begun. Link to CSO website? 2010 A.4.5 Analysis and documentation group, to produce and update source notes in item A.4.1b. CSO needs to develop a capacity for analysis and documentation of data that is produced by CSO and by line agencies, with emphasis on evaluating consistency & comparability. Continuous B. Collecting and Analyzing Data ( was Strengthening CSO Position & Enhancing its Visibility) B.1 Household Sample Surveys Afghanistan National Statistical Plan 58 Nr CBP proposal Comment When? B.1.1 National Risk and Vulnerability Assessment (NRVA) A core survey is needed annually for tracking poverty.21,000 households. To adjust for seasonal variation, implement 4x per year. Rotate modules for special topics. Will be useful for capacity building. Core survey starting in 2010, with modules from 2012. B.1.2 Survey on Participation of Women and Men in Decision Making This is a survey of offices – government, private and NGO’s. Begun in 2009, to be finished in 2011. Repeat every 5 years. B.1.3 Multiple Indicator Cluster Survey (MICS) UNICEF sponsors. This is a very detailed HH survey that focuses on health of children & mothers. Impossible to combine with NRVA. Previously done in 2003. Planned for 2010, repeat every 5 years B.1.4 Labour Force Module Never been done. An annual LFS not needed, but employment numbers would be useful once every few years. Make it an occasional NRVA module to save costs. Coordinate with ILO and relevant ministry. Do first in 2012. Repeat once every 3 or 5 years. B.1.5 Household Income and Expenditure Survey (HIES) HIES uses a very detailed questionnaire, an expenditure diary, & its own sampling plan, so cannot be combined with NRVA. Last done 1987. Best to begin with an HIES for Kabul alone (sample 800-1000 hh), to develop CSO capacity. Follow with other cities in 1-2 years. (Further discussed in Part I). Kabul HIES in 2010. Other cities in 2012. Repeat after 5 years. B.1.6 Child Labour Survey Suitable as occasional module for an annual NRVA or could be combined with a LF module.. Has never been done. B.2 Establishment Statistics B.2.1 Integrated Business Establishment Survey Needed to cover establishments below the cut-off and to estimate under coverage. (Further discussed in the “Analysis” report). Biannual B.2.2 Census of Establishments Should take place subsequent to implementation of a satisfactory, regular register updating method. Not before 2014 B.2.3 Expanded Consumer Price Survey – currently published data based on 7 cities. First publish data for 10 provinces after analysis by an international CPI consultant. Next, expand price survey to 14 provinces in 2010. Internet connectivity is needed in Monthly Afghanistan National Statistical Plan 59 Nr CBP proposal Comment When? support of the expanded CPI. B.2.4 Review quarterly establishment reports to maximize benefit for national accounts B.3 Analytical Studies/Computation of Indicators B.3.1 Analytical use of HIES for CPI &National Accounts Needed after HIES, to prepare a new market basket for the CPI. 2011 and 2013 B.3.2 Analytical use and tabulation of establishment data for National Accounts Needed after IBES. 2010 B.3.3 Developmental Study on Informal Sector The study will design instruments for collecting data for the informal sector, based on a few case studies. 2012 B.3.4 Review data needs for enhanced national accounts, identify gaps, evaluate which ones will be easier to fill. Difficult to upgrade national accounts without better source data. 2010 B.3.5 Review and revise obligatory forms for establishments. The forms were designed during a period of socialist economic policy & are entirely oriented toward state-owned enterprises. Redesign needed to take private establishments into account. 2011-12 B.3.6 Prepare a Supply and Use Table (SUT) based on the Census of Establishments. Important for re-benchmarking national accounts. Can begin 2 years after a Census of Establishments. Begin in 2016 at the earliest. B.1.7 Survey of Agriculture (replaces Census of Agriculture) The CPH can be used as a sampling frame for broad agricultural surveys. 55 percent of households are involved in agriculture. FAO experts can help design. Implement 2 yrs after CPH. C. Population and Housing Census This will be important not only for the data to be collected and disseminated, but also as an opportunity to build capacity. 2011 or 2012 Afghanistan National Statistical Plan These quarterly obligatory forms were recently revised to include intermediate consumption; but further improvements may be needed. 60 Nr CBP proposal Comment When? C.1 Tabulate results of Household Listing C.2 Prepare Census maps anew based on listing Census maps were printed before HHL and now need to be updated. C.3 CPH Pilot To be carried out in selected areas in each province. 2010. C.4 CPH: field work and data entry To be carried out in 2011 if conditions warrant. 2011-12 C.5 Tabulate and publish CPH findings D. Administrative data in line agencies D.1a Conduct statistical audits at all line agencies (approximately 42), starting with pilot for 3 agencies in 2010. This will review statistical potential of existing systems, as well as data gaps. Will identify data that can be used by CSO for National Accounts and Statistical Yearbook & document classification issues. Will also propose new MIS systems where such systems are lacking. 2010 D.1b Continue audits at other line agencies at a rate of one per month Involve specialized consultants as needed. 2011-13 D.2 Identify standardization issues for administrative data and issue recommendations case-by-case The Statistics Law empowers CSO to provide guidance on classification issues. Continuous D.3 Revise CSO questionnaires for line agencies to adapt to audit findings. Most of the questionnaires were drafted at least 20 years ago and have not yet been updated to take account of the current situation. 2012-13 D.4 Recommend upgrades to the MIS in specific line agencies in order better to meet data needs for CSO and for M & E. Although the main function of an MIS is to meet the data needs of the line agency in question, the systems can also produce valuable statistical data as a by-product. CSO will recommend upgrades as needed to provide important statistical data as well as serving an M&E need. Continuous Afghanistan National Statistical Plan 2012 or 13 61 Nr CBP proposal Comment When? D.5 Facilitate the preparation & implementation of MIS development plans in each line agency. It remains to be seen how CSO can facilitate and to what extent training can play a role. D.6 The National Statistical Council (NSC), created under the Statistics Act, will form an inter-agency technical committee under the NSC. The technical committee should meet regularly (quarterly) in support of inter-agency cooperation for statistics. E. Information and Communication Technology (ICT) E.1 Replace outmoded computers and printers. There are presently about 170 PC’s at CSO and another 60 or more in PSO’s. Some are already outmoded and all need to be replaced during the next 7 years. Continuous E.2 Provide additional computers and printers for use on the desks of staff who need them The stock of PC’s at CSO allows for only 120 to be used at the desks of CSO staff, with many of these in poor condition. The objective by 2016 is for 200 (?) to be used at desks of CSO staff. Continuous E.3 Upgrade network, equip servers with suitable programs such as SQL server. Although CSO already has a LAN, little analysis takes place via the LAN. 2011 E.4a Design and begin to create a data warehouse for CSO data. This will facilitate access to and protection of key datasets. Although CSO has not yet collected much survey data, it is becoming the repository of important data sets including the Household Listings and the NRVA data. As more data is collected, this role can only increase, which will require effective ways of storing the data to facilitate access. 2012-14 E.4b Consider leasing a program such as SuperSTAR, which has been used by many statistics offices to organize data storage with metadata to facilitate user access. The better that data in a data warehouse can be organized, the more accessible and useful it will become. It will be much more cost-effective for CSO to purchase or lease software for this purpose than to attempt to develop its own. E.4c For data owned by agencies other than CSO, encourage the agencies to make their data accessible For the purpose of sharing data, it is not necessary that all agencies submit their data to a single coordinating agency; such a model has been difficult to implement elsewhere. Afghanistan National Statistical Plan Quarterly 62 Nr CBP proposal Comment When? online. Another option is that each of the agencies make its data accessible online. E.5 Train a small, skilled team for database management. Certify them with tests and provide incentive payments to keep them. The challenge will be both to train the team and to keep them employed without losing them to outside employers. 2010-11 E.6 Expand Internet access to more CSO staff, eventually to all PC’s. CSO target is to provide internet access to all PC’s by 20XX. This will require purchasing more bandwidth and developing appropriate administrative controls over usage. Continuous E.7 Purchase software as needed, include Stata, SPSS and Windows 7. CSO could negotiate a favourable price with Microsoft for equipping all PC’s with Windows 7. Viruses are a common CSO problem; a systematic defence is needed. 2010-12 E.8 In the post-census era, maintain a core GIS capability, for both hardware and software GIS is important for mapping enumeration areas for the CPH, and for disseminating data with thematic mapping. Continuous E.9 Computerization of personnel data base (Human Resource Management System) At present, CSO has difficulty in preparing tabulations that show how many new employees, how many separations, per year, etc. 2011 E.10 Installation of Internet facilities in all provincial capitals, @ $2000 apiece. Essential support for improved data collection, e.g., for CPI. Post very slow, and hand delivery can be dangerous. 2010-13 F. Physical infrastructure F.1 Construction of Statistical Training Center, a 3 storey building with a basement. Needed in support of training effort. Begin with building & training rooms. Library and printing department can follow. (Further discussed in the “Analysis” report). 2010 F.2 Improvement of CSO Library Useful as part of a package of steps to encourage self-study by employees. But documents downloaded over internet are much more up to date than books purchased in hard copy. 2012 F.3 Construction of buildings for 28 Provincial Statistics Offices (PSOs) & reconstruction of Kabul office. Begin with buildings in 6 hub cities, then show usefulness. A gradual approach will be more acceptable to GoA. 2 PSOs per year GOA funding Afghanistan National Statistical Plan 63 Nr CBP proposal Comment When? G. Project management G.1 If possible, establish a twinning relationship between CSO and another, more advanced, statistical agency. Such an arrangement has worked in Tajikistan. The other stats agency could play a role in managing a SCB project at CSO. 2010 G.2 Review progress each year and reschedule tasks if necessary. Delays can occur. Continuous Afghanistan National Statistical Plan 64