Use of surveys: the case of inventories Presentation to a DG-ECFIN Workshop 12/13 October 2009 Philippe de Rougemont, Euro Area Macroeconomic Development (EAM) Directorate General Economics The views expressed are solely those of the author, and do not necessarily reflect those of the ECB Menu • Part 1 Use of surveys for conjunctural analysis • Part 2 Inventories in this recession • Part 3 Surveys on inventories • PMI • DG-ECFIN • Comparison, joint use • Part 4 Inventories in national accounts • Link with surveys 2 Part 1 Use of surveys for conjunctural analysis 3 Use of surveys (1) • Traditionally: – “Good”: (1) timeliness, (2) reliability, (3) frequency, (4) flexibility – “Bad”: (1) coverage, (2) not integrated, (3) subjective/qualitative • But: – (a) Surveys can provide “objective” information – (b) Surveys can be seen as integrated • “One respondent” – (c) Surveys provide a competitive view on economic development • Ex. Puzzle: volatility of hard data on production versus surveys 4 Use of surveys (2) • Subjective/qualitative – Nature of the question • • • • Forecast (“What is your expected production?”) Sentiment (“Are you optimistic?”) Assessment (“How is your order book compared to normal?”) Report of an observation (“Did your past production change?”) => objective » Stocks versus flows • Other issues: seasonality, working days, concepts – Response practices of respondents • • • • Modality of response: discrete rather than continuous information Band corresponding to no change The genuine “reporting” period considered Other issues (same): seasonality, working days, concepts Work of the CBI on respondents’ practices very useful – Users’ responsibility • Often linear link presumed (between a survey balance and a change of an indicator) 5 Use of surveys (3) • Two uses of surveys: – Independent narrative • Briefings / Monthly Bulletin / Annual Report – Input to “Mechanical tools” for “backcasts, nowcasts, forecasts” of GDP. See Monthly Bulletin April 2008 • Importance of the horizon of estimate • Bridge equations – ECB WP 276, 622, 925, 975 • Factor models: substantial response on survey releases – ECB WP 894, 949, 953 • Two methods: – “Accounting approach”: methodological perspective; focusing on the survey questions directly relevant (GDP nowcast questions on past production) • Frequency transformation; natural average (1,2,3,2,1) • A priori lags; but respondents’ practices – “Business cycle approach”: empirical perspective; all survey questions can legitimately be used: common factor • Factor models; no a priori lags 6 Use of surveys (4) • Avoiding misuses and communication mistakes (e.g.): – Frequency transformation: erroneous to average monthly surveys over the quarter without justification – Avoid picturing indicator’s year-on-year growth with monthly surveys – Consider the lagging/smoothing effect of stock indicators and of the relevant “reporting” period • Avoid PMI/DG-ECFIN comparisons without explanations! • A conceptual issue – Are “month on month” survey questions superior to “3 month on 3 month”? – Superior information content: • e.g.: mid November, 6/9 of the information for Q4 growth is available – Extraction of signal problem: (1,2,3,2,1) polynomial cannot be inverted 7 Use of surveys (5) • In the recent recession: – The slowdown and then collapse in activity were apparent in surveys, reasonably early – However, the amplitude of the collapse was not well captured by surveys • Non linear effects – Some econometric evidence – Conceptually perhaps ambiguous • Smoothing effects – Some econometric evidence too – Now, an upturn (?) 8 Use of surveys (6) PMI Manufacturing "World", US, e uro are a, Japan and UK- up to Septem ber 2009 60 O utput PMI "World", US, euro area, Japan and UK - up to September 2009 70 65 55 60 55 50 50 45 45 40 40 35 World 35 30 UK Japan 25 Euro area 30 US 20 Ja n Ju l-0 9 O ct -0 9 Ju l-0 8 O ct -0 8 Ja n09 A pr -0 9 Ju l-0 7 O ct -0 7 Ja n08 A pr -0 8 06 Ju l-0 6 O ct -0 6 Ja n07 A pr -0 7 -0 6 pr A -0 6 Ap r-0 6 Ju l-0 6 Oc t-0 6 Ja n07 Ap r-0 7 Ju l-0 7 Oc t-0 7 Ja n08 Ap r-0 8 Ju l-0 8 Oc t-0 8 Ja n09 Ap r-0 9 Ju l-0 9 Oc t-0 9 15 25 Ja n World UK Japan Euro area US Sources: Markit, ISM 9 Use of surveys (7) Euro area industrial production and PMI 2.0 63 Industrial production PMI output 58 1.0 53 0.0 -0 8 A pr -0 8 Ju n08 A ug -0 8 O ct -0 8 D ec -0 8 Fe b09 A pr -0 9 Ju n09 A ug -0 9 -1.0 Fe b D ec -0 7 48 43 38 -2.0 33 -3.0 28 -4.0 23 Sources: Eurostat, Markit Last observation in September 2009 for PMI and in July 2009 for industrial production 10 Part 2 Inventories in this recession 11 PMI diffusion indexes on inventories (euro area) (1) destocking movement from summer 2008 in retail and in manufacturing inputs; (2) and from December 2008 in manufacturing finished goods; (3) destocking speed maximum in March-June 2009; (4) slowing since May-August 2009 PMI - Inventories in manufacturing (euro area) PMI - Inventories in manufacturing and retail (euro area) 54 58 52 56 50 54 48 52 Total manufacturing Retail Total 50 46 48 44 46 42 44 40 36 Input Finished goods Total Au g97 Au g98 Au g99 Au g00 Au g01 Au g02 Au g03 Au g04 Au g05 Au g06 Au g07 Au g08 Au g09 34 Last observation in September 2009 Source: Markit 40 38 36 Au g97 Au g98 Au g99 Au g00 Au g01 Au g02 Au g03 Au g04 Au g05 Au g06 Au g07 Au g08 Au g09 38 42 12 Inventories in an economy (I) Producer A Retailer R Finished goods Input goods for resale Producer B Wholesaler W Finished goods for goods resale Input Consumers Imports Exports 13 Inventories in an economy: scramble for cash (II) Deepening of the financial crisis Producer A Retailer R + Finished goods - - Input goods for resale Producer B Wholesaler W +++ Finished goods for goods resale - - Input Consumers Imports Exports 14 Inventories in an economy: cutbacks of inventories by cutting production (III) Producer A Retailer R - Finished goods - - Input goods for resale Producer B -- Wholesaler W + - Finished goods for goods resale - Input Consumers Imports Exports 15 Levels of inventories – World, US, Japan, UK, euro area Inve n tori e s (of pu rch ase ) PMI "W orld", US, e u ro are a, Japan an d UK up to Sept 2009 55 50 45 40 World UK Japan Euro area US 35 Last observation in September 2009 Sources: Markit, ISM ct -0 9 O -0 9 Ju l 09 pr A -0 9 Ja n O ct -0 8 -0 8 Ju l 08 pr A -0 8 Ja n O ct -0 7 -0 7 Ju l 07 pr A -0 7 Ja n ct -0 6 O -0 6 Ju l 06 pr A Ja n -0 6 30 16 Destocking is a worldwide movement • Worldwide destocking => Nature of the negative contributions of net trade to growth in 2008Q3, 2008Q4 and 2009Q1 for the euro area 1. Is it merely destocking by partners; or genuine weakening of their final demand? 2. What is the impact of the goods in transit? • A kind of destocking at sea • Net trade contribution to GDP must sum to zero worldwide (please) 17 Part 3 Surveys on inventories • PMI • DG-ECFIN • Comparison, joint use 18 PMI – the question on inventories • PMI respondents are being asked about: “The level of inventory (in units, not money) this month compared with the situation one month ago.” • Answer around mid month => flow indicator, objectively depicting the mid month to mid month change in the volume of inventories 19 PMI-based euro area inventories – but showed in levels (detrended) PMI - Inventories in manufacturing and retail (euro area) Estimated levels PMI - Inventories in manufacturing (euro area) Estimated levels 50 60 40 40 Input Finished goods Total Total manufacturing Retail Total 30 20 20 10 09 08 Au g- 07 Au g- 06 Au g- 05 Au g- 04 Au g- 03 Au g- 02 Au g- 01 Au g- 00 Au g- 99 Au g- 98 Au g- 97 -10 Au g- -20 0 Au g- Au g- 97 Au g98 Au g99 Au g00 Au g01 Au g02 Au g03 Au g04 Au g05 Au g06 Au g07 Au g08 Au g09 0 -20 -40 -60 -30 -40 Last observation in September 2009 Sources: Markit and author’s calculations Note: author’s calculations cumulating demeaned PMI results and then detrending and demeaning 20 PMI inventories – levels, changes and implied contributions to growth (change in change) Implied contributions of inventories to growth based on PMI (euro area) Index and change in index – no unit 10 Level of index Change in Change in change in index index* 5 3 20 09 Q 1 2 20 09 Q 20 09 Q 4 20 08 Q 3 20 08 Q 2 20 08 Q 4 1 20 08 Q 20 07 Q 3 0 20 07 Q 2007Q3 37 2007Q4 45 8 2008Q1 54 9 1 2008Q2 61 7 -2 2008Q3 62 2 -5 2008Q4 57 -5 -7 2009Q1 42 -15 -10 2009Q2 17 -24 -9 2009Q3 -3 -20 5 * The change in change in index is consistent with a -5 contribution to growth -10 Euro area – Last observation in September 2009 Sources: Markit and author’s calculations The index, change in index, and change in change in index have no unit Thus, the change in change in index needs to be rescaled to obtain a contribution of inventories to GDP growth 21 Implied contributions to growth – PMI based calculations (no unit) Total inventories Contribution of inventories to growth EA DE FR IT 2008Q2 2008Q3 2008Q4 2009Q1 2009Q2 2009Q3 -2.3 -5.3 -6.9 -9.8 -9.2 4.5 -1.5 -4.4 -8.0 -10.0 -12.5 9.1 -1.1 -8.1 -12.0 -7.1 -7.8 8.2 -3.2 -0.3 -0.8 -11.9 -7.3 2.9 Manufacturing inventories Contribution of inventories to growth EA DE FR IT 2008Q2 2008Q3 2008Q4 2009Q1 2009Q2 2009Q3 -0.8 0.7 -9.8 -12.2 -10.3 6.7 -0.4 3.5 -13.5 -15.1 -16.6 9.7 2.7 0.8 -19.1 -10.4 -4.0 8.9 -2.1 1.4 3.8 -8.5 -11.1 -0.7 ES NL -2.4 -3.8 -5.6 -11.4 -5.4 2.8 AT -2.4 -4.3 -9.8 -14.3 -0.6 9.2 -4.9 -2.4 -2.4 -18.3 -10.2 9.6 Euro area – Last observation in September 2009 Sources: Markit and author’s calculations The implied contribution to growth has no unit, and thus, needs to be rescaled to obtain a contribution of inventories to GDP growth 22 DG-ECFIN – the question on inventories • Respondents are asked about: “Do you consider your current stock of finished products to be …? + too large (above normal) + adequate (normal for the season) - too small (below normal)” • Stock indicator depicting an assessment • For retail: “Do you consider the volume of stock you currently hold…” 23 DG-ECFIN survey on inventories (assessment of stock levels): finished goods and retail DG-ECFIN - Inve ntorie s of finishe d goods (e uro are a) DG-ECFIN - Inventories in retail (euro area) 24 25 22 20 20 18 15 16 14 10 12 5 10 -0 9 Ja n -0 7 -0 5 Ja n -0 3 Ja n Ja n -0 1 -9 9 Ja n -9 7 Ja n Ja n -9 5 -9 3 Ja n -9 1 Ja n Ja n -8 9 Ja n -8 5 Ja n Ja n Jan-09 Jan-07 Jan-05 Jan-03 Jan-01 Jan-99 Jan-97 Jan-95 Jan-93 Jan-91 Jan-89 Jan-87 Jan-85 -8 7 8 0 Euro area – Last observation in September 2009 Source: DG-ECFIN 24 Comparing DG-ECFIN survey with PMI - Stocks (DG-ECFIN) versus flows (PMI) Assessment compared to normal (DG-ECFIN) versus objective measure (PMI) Detrended levels of inventories in retail (euro area) using DGECFIN or PMI ECB estimation Detrended / demeaned levels of inventories of finished goods in manufacturing (euro area) using DG-ECFIN or PMI ECB estimation 20 10 10 5 50 25 40 PMI cumulation (lh) DG ECFIN detrended (rh) 23 30 19 09 08 21 20 ug A ug - 07 A ug - 06 A 05 ug A ug - 04 A ug - 03 A ug - 02 A 01 ug A ug - 00 A ug - 99 A ug A ug A ug A -10 98 0 97 0 10 -5 17 0 -20 -30 -40 -10 PMI cumulation (lh) DG ECFIN detrended (rh) 97 -10 ug A -15 A ug 98 A ug 99 A ug 00 A ug 01 A ug 02 A ug 03 A ug 04 A ug 05 A ug 06 A ug 07 A ug 08 A ug 09 15 -20 13 -30 11 -20 Euro area – Last observation in September 2009 Sources: Markit and author’s calculations For manufacturing, the (linear) trend is obtained by minimizing the quadratic differences over August 1997 to September 2008 25 Voluntary or involuntary (de)stocking PMI and DG-ECFIN surveys can be seen as providing complementary information Their joint utilisation allows differentiating between voluntary and involuntary (de)stocking behaviours DGECFIN balances + PMI diffusion + Involuntary (stocking) index - Voluntary (destocking) Voluntary (stocking) Involuntary (destocking) 26 Stylised inventory cycle: contributions to GDP growth are of opposite sign to the deviation of inventory levels to trend Direct interpretation of DG-ECFIN survey for inventory contributions to GDP growth Given that:Y = C + Δ S We have ΔY /Y = Δ C /Y + Δ Δ S /Y - + 27 Part 4 Inventories in national accounts Link with surveys 28 Inventories in national accounts (UK example) • • 15% of GDP Three “tiers” (about equal): 1. Manufacturing: input (a), output (b), work in progress (c) 2. Trade: wholesale (a), retail (b) 3. Other: construction, energy, mining, agriculture, services (yes) => Finished goods in manufacturing = 1/9 of total • Survey coverage – DG-ECFIN covers 1b and 2b – PMI covers 1a, 1b and 2b 29 Inventories in quarterly national accounts • Inventories in Q-national accounts often compiled as residual • Seasonal and working days adjustments • Chain-linking volumes – No additivity of the GDP demand identity – Absence of release of the change in inventories in volume (by some statistical institutes) 30 Changes in inventories and contributions of inventories to GDP growth up to 2009Q2/Q3 Eurostat and PMI Mar-08 Jun-08 Sep-08 Dec-08 Mar-09 Jun-09 National accounts data Contribution of inventories to GDP growth Changes in inventories - In % of GDP Changes in inventories - In million euro 0.3 2.8 1681 -0.2 -0.2 -3053 0.4 0.2 4776 0.3 0.5 10082 1 9 -2 7 -5 2 -7 -5 PMI based data (no unit) Contribution of inventories to growth Changes in inventories Sep-09 -0.6 -0.6 0.0 -0.7 -598 -12305 -10 -15 -9 -24 5 -20 Sources: Eurostat, Markit and author’s calculations Note: Changes in inventories calculated by residual; chained-link volumes 31 PMI-based contributions to growth (direct calculation) and national accounts measure 15 PMI-based contributions of inventories to growth (manufacturing and retail no unit - lh) and national accounts contributions of inventories to GDP growth (million euro - rh) euro area 15000 -10 -15 -20 Aug-09 Aug-08 Aug-07 Aug-06 Aug-05 Aug-04 Aug-03 -5 Aug-02 0 Aug-01 0 Aug-00 5000 Aug-99 5 Aug-98 10000 Aug-97 10 -5000 -10000 T otal manufacturing Retail T otal National accounts (rh) -15000 -20000 Last observation in September 2009 and October 2009 extrapolated Sources: Markit and author’s compilations; Eurostat 32 Surveys and national accounts • Simple econometrics point at a better fit using input inventories than finished goods – Interpretation? • Use of total inventories not superior • Too small sample • Perhaps a working days adjustment difficulty 33 CONCLUSIONS • Surveys have the potential to provide “competitive” information on stocking behaviours by business – Good timeliness – Crucial detail of inventories – Residual nature of change in inventories in Q-national accounts • Surveys have to be well understood – – – – The importance to discriminate between inventories The stocks versus flows issue How to extract a contribution of inventories from PMI How to link DG-ECFIN and PMI to extract a voluntary/involuntary pattern (or movements in inventory targets) => Wish: surveys to have both flow and stock information on inventories 34