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The crisis, from Wall Street to Main Street Francesco Daveri 1 Plenty of business cycle fluctuations in the world economy 6 Growth world Gdp, % 5 4 3 2 1 0 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014p 2015p -1 The year-to-year variation in Gdp growth is substantial. The 1978-2014 growth rate of world Gdp averaged 3.4 ppts (dotted line), with a standard deviation of 1.4 ppts Macroeconomic definition of Business Cycles Actual GDP data mix up two parts, potential and transient GDPn = potential Gdp or output (dotted line, goes up over time thanks to innovation and technical change) Transient part (excess/shortfall of actual Gdp with respect to Gdpn) is the business cycle component of Gdp Peak, “tetto” Gdpn Gdp Expansion From trough to next peak Recession From peak to next trough Trough, “pavimento” t Statistical definition of a “recession” Business cycle: alternating expansions and recessions. What is a “recession”? Often cited definition: GDP growth <0 over two consecutive quarters. Not very useful; Sequence of quarterly GDP growth of -2%, +0.01%, -2%, +0.01 would not be a recession, although the yearly number would be sharply negative Common practice: Business cycle dating committees look at broad set of variables (GDP but also industrial production and turnover, total employment, retail sales) with varying time frequency. Gdp = C +I+G+ Exp – Imp: what the yearly data show 1) C often fluctuates less than Gdp (not in 2012) 2) Gdp more stable than I, Exp e Imp 3) G is “countercyclical” item 430 410 428 416 414 423 1.480 403 390 380 370 416 405 398 410 1.492 1.475 1.380 371 1.417 1.424 1.394 1.390 1.365 363 355 350 1.280 342 330 1.180 316 310 290 Growth rates Gdp c i g x m Mean 2008-13 -1,4 -1,3 -5,0 -0,7 0,0 -2,2 Std. deviation 2,5 2,0 4,5 1,3 9,9 8,8 304 299 304 301 299 270 270 1.080 302 290 287 980 266 269 250 880 245 232 230 2007 2008 2009 Investment Export Source: ISTAT 2010 2011 2012 2013 Govt consumption Import 863 843 856 856 856 820 780 2007 2008 2009 gdp 2010 2011 2012 799 2013 Consumption Data unit: Billions of €, constant (chained) prices 5 Questions on Gdp and consumption Question: Why does Gdp (often) fluctuate more than C? Answer 1) C is a function of disposable income (Gdp – taxes + transfers), not of Gdp as such. Disposable income has more stable trend than Gdp, hence C is also more stable 2) C is also a function of wealth. Wealth fluctuates less than Gdp. Question: Why has C fallen more than Gdp in Italy in 2012-13? Answer 1) In 2012-13 maxi increase in taxes (Imu, excise taxation) 2) Also: fall in housing market made people feel poorer than in the past The tax revenue hike in 2012 (and projections) Nota di aggiornamento al Documento di Economia e Finanza (DEF), ottobre 2014 Real Gdp growth Gdp at current prices (bn €) Deficit / Gdp (“quadro tendenziale”) Deficit / Gdp (“quadro programmatico”) 2011 2012 +0,4 -2,4 2013 2014 2015 -1,7 -0,3 +0,5 1638,9 1628,0 1618,9 1626,5 1642,8 3,8 3,0 2,8 3,0 2,2 3,8 3,0 2,8 3,0 2,9 120,8 127,0 127,9 131,6 133,4 Tax revenue / Gdp (“a legislazione vigente”) Govt spending / Gdp (net of interests on public debt) 46,6 48,1 48,3 48,3 48,5 45,6 45,6 46,3 46,6 46,2 Total Govt spending / Gdp 50,4 51,1 51,1 51,3 50,7 Public debt /Gdp (“quadro programmatico”) Percentage change compared to corresponding period of the previous year Quarterly data give more details 12,0 7,0 Gdp 2,0 Imp C -3,0 I -8,0 G Exp -13,0 -18,0 -23,0 Qualitative picture is the same as for yearly data: • C less volatile than Gdp (but for 2012); • Exports, Imports, I more volatile than Gdp; • G is countercyclical. Source: Eurostat Problem: data comparability across quarters Question: How do we compare q1 2013 with q4 2012? Q4 2012 did have Christmas, q1 2013 doesn’t. Sales (and Gdp) shoot up in q4 every year, then down in January. August sales and production drop and then they automatically recover in September. Yet economy may still be depressed in September. How do we measure this? Answer: data must be “de-seasonalised” to be made comparable across quarters. Link to the Istat website De-seasonalised QoQ data on Gdp indicate end of recession for the EZ17 (Eurozone) and the US between q2 and q3 2009 Quarterly Gdp data Ita Euro Usa Ger Fra UK Spa Q1 08 vs Q4 07 +0.5 +0.8 -0.2 +1.6 +0.5 +2.4 +0.4 Q2 08 vs Q1 08 -0.6 -0.3 +0.4 -0.6 -0.4 -0.3 +0.0 Q3 08 vs Q2 08 -0.8 -0.4 -0.7 -0.3 -0.3 -0.7 -0.6 Q4 08 vs Q3 08 -2.1 -1.8 -1.4 -2.4 -1.4 -1.7 -1.1 Q1 09 vs Q4 08 -2.7 -2.5 -1.6 -3.5 -1.4 -2.4 -1.6 Q2 09 vs Q1 09 -0.5 -0.2 -0.3 +0.3 +0.3 -0.6 -1.1 Q3 09 vs Q2 09 +0.4 +0.4 +0.4 +0.7 +0.3 -0.3 -0.3 Q4 09 vs Q3 09 -0.1 +0.1 +1.2 +0.3 +0.6 +0.4 -0.1 Q1 10 vs Q4 09 +0.4 +0.2 +0.9 +0.5 +0.2 +0.3 +0.1 Gdp loss during 2008-09 recession -6.5 -5.1 -3.8 -6.4 -3.2 -5.6 -4.6 10 The takeaway from previous table on the 2008-09 recession 1. The 2008-09 recession started a couple of quarters before the financial crisis has precipitated. 2. In the US and the euro area the Great Recession of 2008-09 has ended by mid 2009. In Germany and France starting from 2009 Q2. In Italy, the euro area and the US from 2009 Q3. 3. In the UK and Spain the recession lasted longer (UK, until 2009 Q4 and Spain until 2010 Q1) 4. Italy, Germany and the UK showed the highest cumulated Gdp losses in 2008-09. France and the US showed the lowest cumulated loss. Spain in between. Reminder: If an economy exhibits a “+4%” in the wake of a “-4%”, its GDP has not come back to where it was, but stays below the previous level 11 2° half of 2009- 1° half of 2011: gradual recovery. NOT for Germany & Usa, where recovery was fast Pil, quarterly Ita Euro Usa Ger Fra UK Spa q209 vs q109 -0.5 -0.2 -0.3 +0.3 +0.3 -0.6 -1.1 q309 vs q209 +0.4 +0.4 +0.4 +0.7 +0.3 -0.3 -0.3 q409 vs q309 -0.1 +0.1 +1.2 +0.3 +0.6 +0.4 -0.1 q110 vs q409 +0.4 +0.2 +0.9 +0.5 +0.2 +0.3 +0.1 q210 vs q110 +0.4 +1.0 +0.6 +2.2 +0.6 +1.1 +0.2 q310 vs q210 +0.2 +0.4 +0.5 +0.7 +0.4 +0.8 +0.0 q410 vs q310 +0.1 +0.3 +0.8 +0.4 +0.3 -0.5 +0.2 q111 vs q410 +0.1 +0.8 +0.1 +1.3 +0.9 +0.5 +0.4 q211 vs q111 +0.3 +0.2 +0.2 +0.1 0.0 +0.2 +0.2 Gdp during 2009-11 recovery +1.8 +3.4 +4.8 +6.7 +3.7 +2.8 +1.0 12 Where do growth differences leave us in terms of real GDP levels? Q1-2008 Q2-2008 Q3-2008 Q4-2008 Q1-2009 Q2-2009 Q3-2009 Q4-2009 Q1-2010 Q2-2010 Q3-2010 Q4-2010 Q1-2011 Q2-2011 Q3-2011 Q4-2011 Q1-2012 Q2-2012 Q3-2012 Q4-2012 Q1-2013 Q2-2013 Q3-2013 Q4-2013 Q1-2014 Q2-2014 104,0 102,0 100,0 98,0 96,0 94,0 92,0 90,0 Francia Germania Italia Spagna Compared to end 2007: Germany +3%, France about the same, Spain 5%, Italy -9% Source: Eurostat Gdp only at quarterly frequencies. Need other indices to learn how the economy fares between Gdp releases Monthly indicators of the business cycles are either coincident or forward or backward with respect to Gdp. Total employment or unemployment Backward-looking indicator Depends on past Gdp Industrial production and turnover Coincident indicator Quarterly IP and turnover highly correlated with same-quarter Gdp growth Orders Forward looking variable Predicts what is going to happen to industrial production and turnover (and Gdp) Retail sales Coincident. 14 Not all retail sales fell equally abruptly Food sales resilient, durables and semi-durables fell… ... Mostly for durables and semidurables (clothing) less so for non-durales & services 110.0 100.0 90.0 80.0 70.0 60.0 50.0 T1-1992 T2-1993 T3-1994 T4-1995 T1-1997 T2-1998 T3-1999 T4-2000 T1-2002 T2-2003 T3-2004 T4-2005 T1-2007 T2-2008 T3-2009 T4-2010 T1-2012 T2-2013 40.0 Fonte: Elaborazioni su Istat Beni durevoli Semi-durevoli Non durevoli Servizi Crisis not equally there for everybody. 1) Small shops, dramatic fall 2) A «new normal» for Big Box retail formats (GDO)? Fonte: elaborazione su dati Istat Even within the GDO, quite a bit of action Fonte: elaborazione su dati Istat One indicator, not many that’s what we go for … This is the Oecd CLI (Composite Leading Indicator) superindex! http://www.oecd.org/std/leadingindicators/ What’s in the Oecd super-index for Italy today? The Oecd super-index is a summary of six sub-indices (for Italy): Component Series (Unit) Source Institute for Studies and Economic Analyses (ISAE) • Consumer confidence indicator (% balance) • Production: future tendency (manufacturing) (% balance) ISAE • Deflated net new orders (2005 = 100) ISTAT • Order books level (manufacturing) (% balance) ISAE • CPI All items (2005=10) inverted ISTAT • Imports from Germany Cif (USD) ISTAT Source: Oecd 19 The Oecd super-index is a summary forward looking indicator. In 2009 it has shown “signs of recovery” since early 2009. Press cut, Sep 12, 2009 “OECD composite leading indicators (CLIs) for July 2009 show stronger signs of recovery in most of the OECD economies. Clear signals of recovery are now visible in all major seven economies, in particular in France and Italy, as well as in China, India and Russia” The minimum of the super-index for Italy in 2009 was reached around the beginning of 2009. 20 What the CLIs used to say for Italy early on in 2009? 21 What the super-index shows today? In 2013 the Oecd super-index showed signs of recovery everywhere, with an acceleration in the EZ, Germany, Italy and consolidation (“growth firming”) in the US. Instead, EZ struggling not to fall in recession for the 3rd time Release: Oecd, October 2014 Another summary indicator: PMI Markit • • • Purchasing Managers' Index™ (PMI™) series compiled by Markit are key benchmark indicators for measuring the business and economic conditions in any given economy. In particular: Eurozone Complete PMI data collected from 5,000 manufacturing and services firms; Eurozone Services PMI data collected from a 2,000 private service sector firms. There are two parts to the monthly PMI releases; the first is the headline PMI number, designed to provide a snapshot of the health of the economy; the second is the sub-indices, or component level data. These sub-indices provide insight into key economic drivers such as inflation, exports, employment and inventories 23 PMI Markit: benefits and functions • Benefits: • Reliable guide to future official economic data releases such as GDP; Data are produced very rapidly, and far faster than equivalent official data, often providing the first indication of economic trends each month; Represent the most comprehensive global economic survey available to professional investors (more than 20.000 companies are in the panel). Functions: Provide a snapshot of the health of the economy; Data are comprehensive and cover private sector economic activity in all of the world’s (major developed and emerging economies); Data are produced using the same methodology, including all main developed economies and key emerging markets, offering uniquely accurate international comparisons. 24 Example of PMI Markit • Flash Eurozone Composite Output Index: 52.7 (January 2014 was 52.9) • Flash Eurozone Services Business Activity Index: 51.7 (January 2014 was 51.6) Release: February 2014 25 PMI Markit for Core vs Periphery EZ countries The periphery (and France) lag behind Germany both in output and employment Release: February 2014 26 Measuring the labor market implications of the crisis Two keywords: • Output gap • Okun’s law Definition: the “output gap” Output gap - a synthetic measure of fluctuations = (GDP-GDPpotential) / GDPpotential If output gap positive, economy overheated & inflation mounting; if output gap negative, economy working at less than full capacity & inflation cooling down. Yet formula above not very useful: who knows the value of Gdp or GDPpotential in $ or €? See useful substitute in the next slide. Computing the output gap on the flip side of your business card Euro area 2010 2011 2012 2013 Actual GDP growth 1.9 1.4 -0.6 -0.4 Potential GDP growth 1.0 0.9 0.8 0.8 -3.0 -2.5 -3.9 -5.1 Output gap 2009 -3.9 Previous formula: Output gap = (GDP-GDPn) / GDPn may be replaced with something simpler and measurable: Output gapt output gapt-1+ (actual growtht – potential growtht), where “actual Gdp growth” is a known number and “potential growth” = avg. growth of recent years Source: Oecd Statistics website Definition: Okun’s law Over the cycle: GDP and unemployment co-vary negatively. Need rule of thumb to translate U rate above or below its natural rate in terms of output gap. Okun’s law is such rule of thumb. Okun’s law: Any extra % point of actual unemployment corresponds to 2% points of output gap (Okun’s coefficient = (negative) 0.5). An empirical regularity. With exceptions (see next slides) Rationale for Okun’s law? Why does GDP fluctuate more than U? As GDP falls, labor hoarding; as GDP rises, overtime In both cases, changes in U lag behind changes in GDP For about six to nine months if employment very protected, less so in the US Okun’s law in excess of 1 in the US economy in 2006-2009 … Source: International Monetary Fund, World Economic Outlook, 2010 4,5 Jan-08 feb-08 mar-08 apr-08 May-08 Jun-08 Jul-08 Aug-08 Sept-08 Oct-08 nov-08 Dec-08 Jan-09 feb-09 mar-09 apr-09 May-09 Jun-09 Jul-09 Aug-09 Sept-09 Oct-09 nov-09 Dec-09 Jan-10 feb-10 mar-10 apr-10 May-10 Jun-10 Jul-10 Aug-10 Sept-10 Oct-10 nov-10 Dec-10 Jan-11 feb-11 mar-11 apr-11 May-11 Jun-11 Jul-11 Aug-11 Sept-11 Oct-11 nov-11 Dec-11 Jan-12 feb-12 mar-12 apr-12 May-12 Jun-12 Jul-12 Aug-12 Sept-12 Oct-12 nov-12 Dec-12 Jan-13 feb-13 mar-13 apr-13 may-13 jun-13 jul-13 aug-13 sep-13 oct-13 nov-13 dec-13 ... And closer to zero for Germany … Germany's Gdp 102,0 100,0 98,0 96,0 94,0 92,0 90,0 Germany Unemployment rate in Germany 8,5 7,5 6,5 5,5 Source: Eurostat 6 Jan-08 feb-08 mar-08 apr-08 May-08 Jun-08 Jul-08 Aug-08 Sept-08 Oct-08 nov-08 Dec-08 Jan-09 feb-09 mar-09 apr-09 May-09 Jun-09 Jul-09 Aug-09 Sept-09 Oct-09 nov-09 Dec-09 Jan-10 feb-10 mar-10 apr-10 May-10 Jun-10 Jul-10 Aug-10 Sept-10 Oct-10 nov-10 Dec-10 Jan-11 feb-11 mar-11 apr-11 May-11 Jun-11 Jul-11 Aug-11 Sept-11 Oct-11 nov-11 Dec-11 Jan-12 feb-12 mar-12 apr-12 May-12 Jun-12 Jul-12 Aug-12 Sept-12 Oct-12 nov-12 Dec-12 Jan-13 feb-13 mar-13 apr-13 may-13 jun-13 jul-13 aug-13 sep-13 oct-13 nov-13 dec-13 .. And Italy still in 2008-09. Then in the years closer to us, Okun’s law back in business Italy's Gdp 102,0 100,0 98,0 96,0 94,0 92,0 90,0 Italy 13 12 11 10 9 8 7 Italia Source: Eurostat Come erano le previsioni 2014-15 nei primi mesi del 2014 Le slide dal corso 2013-14 … Nel 2014-15 tornerà (dovrebbe) il segno più … +pil, +consumi, +export, +import. Pil a prezzi correnti su del 2 per cento. Ma effetto zero su disoccupazione. Consumi 2014 (variazione %, volumi) Governo +0,5 Nota di (previsione Aggiornamento al Pil: +1,0) DEF, settembre 2013 Istat Previsioni per l’economia italiana, ottobre 2013 Commissione Europea Autumn Economic Forecasts, novembre 2013 +0,2 (previsione Pil: +0,5) +0,3 (previsione Pil: +0,7) 35 Il segno più del 2014 viene dalla ripresa (oscillante) degli ordini industriali … Ordinativi totali dell’industria, 2010=100 102,0 100,0 98,0 96,0 94,0 92,0 set-11 ott-11 nov-11 dic-11 gen-12 feb-12 mar-12 apr-12 mag-12 giu-12 lug-12 ago-12 set-12 ott-12 nov-12 dic-12 gen-13 feb-13 mar-13 apr-13 mag-13 giu-13 lug-13 ago-13 set-13 ott-13 nov-13 dic-13 gen-14 90,0 Elaborazione su dati Istat GENNAIO-DICEMBRE 2013: -1,5% SUFonte: GEN-DIC 2012, IN MIGLIORAMENTO RISPETTO AL 1O SEMESTRE 2013 RISPETTO A 1°SEMESTRE 2012 (ERA -3,2%) 36 La ripresa 2014 è poi trainata dal recupero della fiducia di imprese e famiglie nel 2013 (la ripresa della fiducia delle famiglie si è però incrinata negli ultimi mesi dell’anno) Fiducia imprese Fiducia famiglie Fonte: Istat dic-13 lug-13 feb-13 set-13 mag-13 gen-13 set-12 mag-12 gen-12 set-11 mag-11 gen-11 75 set-12 80 apr-12 85 nov-11 90 giu-11 95 105,0 103,0 101,0 99,0 97,0 95,0 93,0 91,0 89,0 87,0 85,0 gen-11 100 37 … E da ordini e fiducia si va ai fatturati, con una marcata differenza tra interni ed esteri … Fatturato, industria (dati destagionalizzati) Aprile 2008 Totale Nazionale Estero 100.0 100.0 100.0 Aprile 2009 76.8 77.9 74.1 Aprile 2011 93.2 91.6 96.7 Aprile 2013 83.1 76.8 99.3 Gennaio 2014 86.0 79.1 103.9 Fonte: elaborazione su dati Istat IL FATTURATO ESTERO DELL’INDUSTRIA GIÀ NELL’APRILE 2013 ERA RITORNATO AI LIVELLI PRE-CRISI IL FATTURATO INTERNO È MOLTO SOTTO, MA È IN LIEVE RIPRESA 38 Secondo la Confindustria c’era anche uno «scenario B» più pessimistico. Lo scenario B si è rivelato più ottimistico di quello che è accaduto, soprattutto per il peggioramento della congiuntura internazionale (Ucraina) 39 Il peggioramento della fiducia dei consumatori, un problema comune a tutti i governi italiani Fonte: Elaborazione su dati Istat 40