Informality • What is informality? – Activity “unregulated by the institutions of society, in a legal and social environment in which similar activities are regulated.” (Castells and Portes, 1989) – “…the people’s spontaneous and creative response to the state’s incapacity to satisfy the basic needs of the impoverished masses.” (Vargas Llosa, forward to The Other Path) – Companies “…avoiding taxes and regulations more than [offsetting] their low productivity and scale.” (Farrell 2004) Informality • Where does informality come from? Three perspectives: – “Hiding” or exit: producers want to avoid taxes and regulations, and escape (McKinsey) – “Exclusion” High costs of compliance (de Soto; Doing Business) – Dual economy / stages of development (Lucas, Lagakos) Informality and state capacity • All three may both be based on cost-benefit calculations by firms. But differences: – Hiding: State is weak. Weak public goods to pull people into the formal sector; weak enforcement capacity to push people into the formal sector – Exclusion: State is oppressive, with regulations that prevent firms from complying. – Dual economy / stages of development: Could be a mixture of the two. Either not enough formal jobs created by formal sector, or other infrastructure / inputs not provided. Informality: Self Employment Source: Golin 2002 Exclusion: Doing Business • The World Bank has spearheaded a major effort in the past decade to lower costs of entry. From 2010 Doing Business report: Source: Doing Business website Doing Business • 75% of countries have reduced the burden of starting a business since 2004: Source: Doing Business website Analytical framework • Who will be affected by a reduction in the costs of formality? May be effects on two margins: – Formalization of existing formal firms – Startup of new firms. • Think first about those shifting from informal to formal. Assume rational weighing of costs and benefits of formality. Something like this: Formalizing the informal • Lowering the costs of registering clearly should unambiguously increase formalization by informal firms • Note that given positive costs of registration, it must be the case that π f > π i – This might be because public goods provided in formal sector, or because of sanctions if caught being informal € Effect on new entry? • A bit more complicated: Start by assuming that each individual rationally weighs income from self employment and income from wage work. α β −α That is, either earns wi or Yi = θ i k L – In other words, a wage or income from a production function where output depends on entrepreneurial ability θ. • We need to think €about the distribution of entrepreneurial talent. Effect on new entry? • Lucas (1978) develops a ‘span of control’ model. Those with highest θ’s become entrepreneurs. • Work through this with graphs. Focus on three variables: – Return to entrepreneurial ability in the formal sector – Return to entrepreneurial ability in the informal sector – Wage rate (endogenous to demand) Entrepreneurship and wage work θf(K,L) Profit from running a firm (formal sector) Ff θ (Kf , Lf)-C w* θ Wage workers Form entrep Adding an informal option Finf θ (Kinf , Linf) θf(K,L) w* Ff θ (Kf , Lf)-C θ Wage workers Inf entrep Form entrep Adding an informal option Finf θ (Kinf , Linf) θf(K,L) w* Ff θ (Kf , Lf)-C Note: Informal sector firms are less productive, but making them formal does not make them more θ productive. Wage workers Inf entrep Form entrep Effect of reducing cost of formality Finf θ (Kinf , Linf) θf(K,L) Ff θ (Kf , Lf) w* Ff θ (Kf , Lf)-C θ Wage workers Inf entrep Form entrep Effect of reducing cost of formality Finf θ (Kinf , Linf) θf(K,L) Ff θ (Kf , Lf) w* Ff θ (Kf , Lf)-C θ Wage workers Inf entrep Form entrep Effect of reducing cost of formality • Easy to see there will be shift from informal to formal. Transition from wage workers – formal employers is less clear. Would require a model of types. • For example, distaste for operating informally, which varies across individuals. Or, alternatively, two types of workers with different wage schedules. With two-tiered wage rates Finf θ (Kinf , Linf) θf(K,L) Ff θ (Kf , Lf) w*(2) w*(1) Ff θ (Kf , Lf)-C ww(1) ww(2) θ With two-tiered wage rates Finf θ (Kinf , Linf) θf(K,L) Ff θ (Kf , Lf) w*(2) w*(1) Ff θ (Kf , Lf)-C ww(1) ww(2) θ Empirical evidence on entry costs • What do we know about the effect of a reduction in costs of formality on decisions by firms / potential firms? Bertrand and Kramarz exploit a change in entry regulation in retail sector in France: the 1973 “Loi D’Orientation du Commerce et de l’Artisanat” – “Since 1974…The creation or extension of any new large retail establishment has first to be approved by a regional zoning board composed of store owners, consumer representatives, and region- ally elected politicians” Simple dif-in-dif Bertrand and Kramarz • Regional boards made up up: – 9 shopkeepers – 2 consumer representatives – 9 elected officials • Use two different approaches – Approval rates by department (Problem?) – Vote shares (right/left) in department over time Approval and entry, OLS Regressions include year and department fixed effects Voting and approval (1st stage) Approval and entry, IV French retail entry • Many policy changes happen all at once in the country – David talked about using encouragement designs to create variation – Bertrand and Kramarz use differences in implementation of the law across region / time. Is this exogenous? • State level policy in the US—e.g., Card and Krueger, Neumark and Wascher) Mexico -- SARE • Kaplan, Piedra and Seira (2007) and Bruhn (2007) both look at data from Mexico following SARE (System for Rapid Opening of Firms); They reach somewhat different conclusions: • New firms are informal-formal transitions (Kaplan et al) or de novo startups (Bruhn) • Effect is modest and short-lived (Kaplan et al) or more substantial (Bruhn) • Increases competition and leads to lower price levels (Bruhn), or has no effect on price levels (Bruhn) SARE • Program to reduce the time required to obtain a municipal operating license from ~30 days to 2 days. – Is the municipal license the key? • Implemented in some municipalities, but not others – Not randomized, though as Kaplan et al point out, changes in registration costs are rarely randomized • Applies to some sectors, but not others – List varies by municipality: retail yes, chemical manufacturing no SARE • Will compare changes in new firm registrations in SARE municipalities with new firm registrations in comparison municipalities • The much more convincing comparison takes a double difference: eligible sectors vs. ineligible sectors in SARE vs. non-SARE municipalities – Data from IMSS – worker health benefits – all formal workers SARE • A lot of effort in the paper to show that choice of implementing SARE was independent of past trends in registration – Related to political party of mayor (PAN) – Related to where in the 3-year term the mayor is (2nd year) • But … Trends Several things to note: 1) seasonality; 2) SARE municipalities are very large; 3) declining trend Resulting regressions Why the declining trend? • Downturn in US coinciding with start of SARE program. Problem because: – Big municipalities entered first, have closer connection to US – Ineligible industries (manufacturing) more affected by US economy than eligible industries (retail trade) – Suggests the double difference will be more credible Double difference trends? Double difference trends? Where do new firms come from? • Transition from informal or de novo Suggest it is transition because: – Temporary effect – Reduction in exit hazard rate. (But more able entrants?) SARE and firm survival Duration of SARE effect A ‘placebo’ test An alternative view on SARE • Bruhn uses data from a labor survey to examine the effect of the same program – Can capture firms w/o employees, not registered at IMSS – Can look at income of incumbent firms (fell by 3.5%) – Can see where workers move (from wage work to entrepreneurs, from unemployed to wage work) – But fewer municipalities, shorter time frame An alternative approach • De Mel et al take an alternative approach: increase benefit of formal registration rather than decreasing cost. • Again, a single country (Sri Lanka). But this time a randomized implementation • Start with a sample of informal firms (not de novo start ups). So think about comparing the blue and yellow lines on the prior graphs Summary of interventions • Provide set of informal firms in Sri Lanka with information and, sometimes, monetary incentives to complete the registration process – Use the exercise to estimate the demand for formality – Also understand characteristics of firms more willing to register Structure of intervention • Focus on the DS registration. Why? – Most closely associated with tax payments – BRC needed for formal bank loans, issuance of official receipts. • Perceived costs of registering? • Taxes (46%) ; time consuming (37%); subject to ETF/EPF (24%) • Perceived benefits? • Bank account (56%); none (23%) • Did not know cost of registering, tax laws Treatments • Sorted into groups of 5 firms, matching on location, industry, # employees, willingness to register (61%), perceived benefits of being formal – Treatment 1: Information on costs and benefits of being registered (prepared with DS, C of C), plus reimbursement of direct registration costs (modest) – Treatment 2: Information plus payment of 10,000 Rs (~$85, or 1/3rd of median monthly reported profit) – Treatment 3: Information plus 20,000 Rs payment – Treatment 4: Information plus 40,000 Rs payment • Treatment 4a: 80,000 Rs. TREATMENT EFFECTS 0.5 0.4 0.3 0.2 0.1 0 Information 10,000 Rs 20,000 Rs -0.1 ITT TOT 40,000 Rs What margin do registration costs affect? • Does formalizing existing informal firms lead them to expand more quickly? – No need to remain small and hidden – Ability to issue receipts, bid on government contracts – Bank accounts and bank credit • Another (perhaps more important) effect is inducing entry by high-ability entrepreneurs who would remain wage workers w/ high entry costs – Uncertainty in success of the venture, combined with higher start-up costs – Much more difficult to analyze, because in a tail of the distn