Households Indebtedness and Financial Fragility

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9TH JACQUES POLAK ANNUAL RESEARCH CONFERENCE NOVEMBER 13-14, 2008 Households Indebtedness and Financial Fragility Tullio Jappelli University of Naples Federico II and Marco Pagano University of Naples Federico II and Marco Di Maggio MIT Presented at the 9th Jacques Polak Annual Research Conference Hosted by the International Monetary Fund Washington, DC November 13-14, 2008 The views expressed in this paper are those of the author(s) only, and the presence of them, or of links to them, on the IMF website does not imply that the IMF, its Executive Board, or its management endorses or shares the views expressed in the paper.

Households Indebtedness and Financial Fragility Tullio Jappelli (University of Naples Federico II) Marco Pagano (University of Naples Federico II) Marco Di Maggio (MIT) IMF, 13 November 2008

Financial fragility Lending to households has taken a central role in the functioning of financial and real markets. Are highly indebted households more financially fragile, that is, more likely to default when hit by adverse shocks, e.g. unemployment or interest rates increases? Does financial fragility vary across countries, as a function of institutional variables, such as bankruptcy law provisions or judicial efficiency?

Previous research: mostly on the US Gross and Souleles (2002): increase in insolvencies is due to borrowers' greater willingness to default. Mian and Sufi (2007), Dell Ariccia, Deniz and Laeven (2008), Dick and Lehnert (2007) point to explanations based on lending policies of banks. IMF (2006): international comparison of household indebtedness (no insolvencies).

Cross-country, panel & time series data Cross-country data to study determinants of household debt and role of institutions. Panel data for 11 European countries to study determinants of household arrears (controlling for household debt, plus macro and institutional variables). Longer time series data for household debt and insolvencies in the UK, US and Germany.

Determinants of household debt and insolvencies: institutions Better institutions may facilitate collection of credit-relevant information and reduce the likelihood of default. Bankruptcy regulation determines assets used for repayment and their division among creditors: Gropp, Scholz and White (1997), White (2006). Information sharing about borrowers characteristics and indebtedness permits sharper prediction of repayment probabilities and may discipline borrowers: Jappelli and Pagano (2002); Djankov et al. (2007). These institutions vary considerably across countries.

Determinants of household debt and insolvencies: demand and supply factors Demand factors: age structure of the population taxation income inequality (to the extent that it reflects transitory income shocks) Supply factors: credit market competition. Two opposite effects: lower non-competitive rents more lending harder to sustain relationship lending less lending

1. Analysis of cross-sectional data 45 countries. Variables refer to 2005, or closest year. Court efficiency: measure based on duration of judicial procedures (Lex Mundi project). Information sharing: coverage, type of information, number of years since inception of credit bureaus and public credit registers. Creditor right protection. Population growth rate. Gini income inequality index. Concentration ratio: inverse measure of competition.

Large international variability in household debt-gdp ratio Household-Debt GDP Ratio 0.5 1 Denmark United States New Zealand Netherlands United Kingdom Portugal Australia Germany Korea Ireland Cyprus Spain Malaysia Taiw an Sweden Ja pan Lu xem bourg Finland South Africa Malta France Austria Belgium Greece Thailand Italy Estonia Latvia Chile Hungary China Bulgaria Poland Mexico Czech Republic India Indonesia Colom Lithuania bia Slovak Republic Slovenia Philippines Romania Peru Turkey R ussia Brazil A rge ntina Venezuela 6 7 8 9 10 11 Log GDP

Household Debt-GDP ratio is negatively correlated with judicial inefficiency Household-Debt GDP Ratio 0.2.4.6.8 1 United States Japan Denmark Netherlands New Zealand United Kingdom Germany Korea Ireland Spain Sweden M alaysia Taiwan Australia Portugal Cyprus Luxembourg Finland South Africa France Austria Malta Belgium Greece Thailand Italy Chile Estonia Latvia Hungary China Czech Mexico Republic Bulgaria India Lithuania Turkey Ind onesia Colombia Philippines BrazilRomania Argentina Russia Peru Venezuela Poland Slovenia 3 4 5 6 7 Log Duration of Check Collection

and positively correlated with quality and quantity of information shared Household-Debt GDP Ratio 0.2.4.6.8 1 Denmark Spain Taiwan Netherlands France Finland Austria South Africa Belgium Greece Tha iland Italy Estonia Latvia Chile Hungary Slovenia China Poland Czech Republic Me xico India Indonesia Lithuania Colombia Slovak Republic Russia Philippines Romania PeruBrazil Venezuela Portugal Korea United States New Zealand United Kingdom Germany Australia Ireland Sweden 0.2.4.6.8 1 1.2 Information Sharing Index

Regression analysis The size of the household debt market correlates with institutional characteristics: efficiency of judicial enforcement; development of information sharing mechanisms. Log of per capita GNP English origin Log duration of check collection Private registry coverage Public registry coverage R-squared 0.101*** (0.022) 0.124* (0.061) -0.119*** (0.027) 0.193** (0.072) 0.545*** (0.132) 0.89

Are cross-country differences persistent, or is there convergence over time? Annual growth of Debt-GDP ratio, 2000-05 0.05.1.15.2 Romania Russia Bulgaria Philippines China Hungary Turkey Czech Republic India Indonesia Slovenia Greece Brazil Venezuela Ireland Korea Poland Thailand Chile Spain Peru MalaysiaFinland Mexico Italy South Africa Australia Belgium France Austria Taiwan New Zealand United States Portugal Netherlands Colombia Germany Japan Argentina 0.2.4.6.8 1 Debt-GDP ratio in 1999

2. Analysis of EU panel data on arrears 11 European countries surveyed in 1994-2004. European Community Household Panel (ECHP) and EU Survey of Income and Labor Conditions (SILC): Have you been unable to make scheduled mortgage loans / hire purchase installment / other loans in the last 12 months? Aggregated by country and year, and merged with macro variables and institutional variables (information sharing, judicial efficiency).

Our hypotheses (1) Greater debt and higher unemployment are associated with more insolvencies. (2) A better contracting environment or enforcement system raises the perceived cost of default. In these environments, the same increase in household debt and in unemployment is associated with a smaller increase in the default probability.

Large differences in arrears over time and across countries France 1995 2000 2005 Italy 1995 2000 2005 Fraction of households in arrears.02.03.04.05.06 Fraction of households in arrears.01.02.03.04 Fraction of households in arrears.02.04.06.08.1 Fraction of households in arrears.02.03.04.05 Spain 1995 2000 2005 Portugal 1995 2000 2005

Arrears for mortgage loans correlate with those for consumer debt Austria Belgium Denmark Finland 0.1.2 0.1.2 0.1.2 France Greece Ireland Ital y Netherlands Portugal Spain 1995 2000 2005 1995 2000 2005 1995 2000 2005 1995 2000 2005 Total loans Other loans Mortgage loans

Panel data results: fixed effects estimates Unemployment rate Debt-GDP ratio Unemployment x Information sharing Unemployment x Time to collect checks Debt-GDP X Information Sharing Debt-GDP x Time to collect checks Debt-GDP x Unemployment + + - + - + + Arrears increase by 0.4 percentage points for each point increase in the unemployment rate, and by 1.5 points for each 10-point increase in the debt-gdp ratio. Effect of real interest rate not significant.

Debt, unemployment and insolvencies 0.05.1.15 Effect of debt on insolvencies 0.05.1.15 Effect of unemployment on insolvencies.1.2.3.4.5.6 Debt-GDP ratio Low IS High IS.02.04.06.08.1.12 Unemployment rate Low IS High IS The effect of debt and unemployment on insolvencies is stronger in countries with low information sharing (IS).

Interaction effects: information sharing A 10% increase in Debt-GDP is associated with an increase in arrears that in countries where information sharing covers 40% of the population (Austria) is 1 point larger than in countries where it covers 80% (Netherlands or Italy). A 1% increase in the unemployment rate is associated with an increase in arrears that is 2.4 points larger.

Unemployment, insolvencies and duration of judicial procedures A 1% increase in unemployment is associated with an increase in arrears that is 2.1 points larger in countries where duration is 180 days (France) than where duration is 680 days (Italy). Results for arrears on mortgage loans and other loans are broadly similar. 0.05.1.15.2 Effect of unemployment on insolvencies.02.04.06.08.1 Unemployment rate Low duration High duration

Analysis of time series data for the UK, US and Germany We collect time series data on: Insolvencies (different definitions); Debt-GDP ratio; Unemployment rate; Interest rate. UK: 1983-2007; US: 1981-2007; Germany: 1992-2007. We estimate the correlation between insolvencies and household debt by VAR analysis.

Debt and insolvencies in the UK: 1981-2007 0.5 1 1.5 2 Insolvencies per capita (x thousand).6.8 1 1.2 Debt/GDP ratio Insolvencies Debt/GDP ratio 1980 1984 1988 1992 1996 2000 2004 2008

Debt and insolvencies in the US: 1980-2007 Insolvencies Debt/GDP ratio 0 2 4 6 8 Insolvencies per capita (x thousand).4.6.8 1 1.2 Debt/GDP ratio 1980 1984 1988 1992 1996 2000 2004 2008

Debt and insolvencies in Germany: 1981-2007 Insolvencies Debt/GDP ratio 0.5 1 1.5 2 Insolvencies per capita (x thousand).5.55.6.65.7.75 Debt/GDP ratio 1980 1984 1988 1992 1996 2000 2004 2008 year

Impulse response function for the UK 4-variables VAR with time trend. An increase in household debt is followed by greater insolvencies in the subsequent 4 years. IRF for unemployment and interest rates are not significant..5 0 -.5 Impulse: Debt/GDP ratio 1 2 3 4 5 6 7 8 step Confidence interval Impulse response function

Impulse response function for the US 4-variables VAR with time trend and dummies for 1983 pro-debtor and 2005 pro-creditor reforms. An increase in household debt is followed by greater insolvencies in the subsequent year. IRF for unemployment and interest rates are not significant..6.4.2 0 -.2 Impulse: Debt/GDP ratio 1 2 3 4 5 6 7 8 step Confidence interval Impulse response function

Summary: Debt and Insolvencies Insolvencies increase and become more sensitive to adverse shocks when households are heavily indebted: Panel analysis of insolvencies shows that European countries that experienced relatively fast debt growth also featured larger increases in insolvency rates. VAR analysis for the U.K. the U.S. and Germany suggests that insolvencies increase in the wake of large household debt accumulation.

Summary: Insolvencies and quality of institutions The relation between insolvencies and debt is affected by the quality of institutions: judicial enforcement and information sharing arrangements. Cross-country estimates: debt is associated with better enforcement of creditor rights and information sharing arrangements. Panel regressions: better contract enforcement and information sharing arrangements reduce the financial fragility of households, i.e. the sensitivity of insolvencies to household debt, their sensitivity to shocks, e.g. increases in unemployment.

Summary: Insolvencies and bankruptcy reforms Time series evidence for the U.S. and Germany suggests that: pro-debtor reforms are followed by increases in insolvencies (see the 1983 reform in the U.S. and the 2001 reform in Germany); pro-creditor reforms are followed by the opposite outcome (see the 2005 reform in the U.S. ).

Implications Our data stop short of the sub-prime loan crisis period, but findings help explaining that even moderate shocks can precipitate a wave of household defaults, in a situation where households are already heavily indebted. Financial fragility of households can be mitigated by the design of institutions that reduce the propensity to default, such as improvements in judicial efficiency, bankruptcy regulation and information sharing arrangements. Need to collect comparable data on household debt and insolvencies across countries (IMF could help).