Household Debt and Business Cycles Worldwide Out-of-sample results based on IMF s new Global Debt Database

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Household Debt and Business Cycles Worldwide Out-of-sample results based on IMF s new Global Debt Database Atif Mian Princeton University and NBER Amir Sufi University of Chicago Booth School of Business and NBER Emil Verner MIT Sloan School of Management May 2018

This note provides new out-of-sample results for the key results in our published paper Mian et al. (2017) (MSV henceforth) based on IMF s recently introduced Global Debt Database (GDD henceforth) (Mbaye et al. (2018)). GDD provides the most comprehensive data base on total private debt, with private debt broken down into its two components, household debt and non-financial firm debt. We refer the reader to Mbaye et al. (2018) for details concerning data construction. Table 1 shows the coverage of GDD for the sample of 30 countries covered by MSV. Both data sets essentially have similar coverage for these countries, with the notable exception that MSV have additional data for Thailand before 2003. Table 2 shows data coverage in GDD for the 105 new countries that were not in MSV. The coverage for these additional countries is largely based on post-2000 period. Table 3 shows summary statistics for the main variables used in MSV, the three year change in debt to GDP ratio for various debt categories, as well as the three year change in log real GDP. We show summary statistics for the GDD sample separately for the 30 countries covered by MSV and the remaining 105 countries. Table 4 replicates Table II of MSV using GDD in the full sample, sample restricted to 30 countries covered in MSV, and new countries added in GDD. Table 5 does the same for columns (1) through (6) of MSV. Collectively these two tables represent the core findings in Mian et al. (2017). Figure 1 replicates figure 3 panel (a) of MSV. As the results indicate, all of the key results in MSV are robust to the out-of-sample tests conducted. References Mbaye, S., M. Moreno Badia, and K. Chae (2018). Global debt database: Methodology and sources. IMF Working Paper 18/111, International Monetary Fund. Mian, A. R., A. Sufi, and E. Verner (2017). Household debt and business cycles worldwide. Quarterly Journal of Economics 132 (4), 1755 1817. 1

Figure 1: Household Debt Predicts Growth Slowdown: Out of Sample 2

Table 1: Sample Coverage of IMF Global Debt Database and Mian et al. (2017) Country GDD 2018 MSV 2017 Australia 1977-2016 1977-2012 Austria 1995-2016 1995-2012 Belgium 1980-2016 1980-2012 Canada 1969-2016 1969-2012 Czech Republic 1995-2015 1995-2012 Denmark 1994-2016 1994-2012 Finland 1970-2016 1970-2012 France 1977-2016 1977-2012 Germany 1970-2016 1970-2012 Greece 1994-2016 1994-2012 Hong Kong SAR 1990-2016 1990-2012 Hungary 1991-2016 1989-2012 Indonesia 2001-2016 2001-2012 Ireland 2002-2016 2002-2012 Italy 1960-2016 1962-2012 Japan 1964-2016 1964-2012 Korea, Republic of 1962-2016 1962-2012 Mexico 1994-2016 1994-2012 Netherlands 1990-2016 1990-2012 Norway 1975-2016 1975-2012 Poland 1995-2016 1995-2012 Portugal 1979-2016 1979-2012 Singapore 1991-2016 1991-2012 Spain 1980-2016 1980-2012 Sweden 1961-2016 1980-2012 Switzerland 1999-2016 1999-2012 Thailand 2003-2016 1991-2012 Turkey 1986-2016 1986-2012 United Kingdom 1966-2016 1966-2012 United States 1960-2016 1962-2012 3

Table 2: Sample Coverage of IMF s Global Debt Database: 105 New Countries Country Coverage Country Coverage Country Coverage Afghanistan 2006-2016 Ghana 2003-2016 Papua New Guinea 2001-2016 Albania 2003-2016 Grenada 2001-2016 Peru 2001-2016 Algeria 2001-2016 Guatemala 2005-2016 Philippines 2006-2016 Argentina 1994-2016 Guinea-Bissau 2001-2016 Qatar 2001-2016 Azerbaijan 2001-2016 Guyana 2001-2016 Romania 2001-2016 Bangladesh 2004-2016 Haiti 2006-2016 Russian Federation 1998-2016 Benin 2001-2016 Honduras 2001-2016 Rwanda 2004-2016 Bhutan 2001-2016 Iceland 1970-2015 Samoa 1995-2016 Botswana 2001-2016 India 1998-2016 Saudi Arabia 1998-2016 Brazil 1994-2016 Iraq 2004-2015 Senegal 2001-2016 Bulgaria 1995-2016 Israel 1992-2016 Serbia 2003-2016 Burkina Faso 2001-2016 Jamaica 2001-2016 Sierra Leone 2001-2016 Burundi 2000-2016 Kazakhstan 2003-2016 Slovak Republic 1995-2016 C.A.R. 2001-2016 Kenya 2001-2016 Slovenia 2001-2016 Cambodia 2004-2016 Kyrgyz Republic 2001-2016 Solomon Islands 2001-2016 Cameroon 2001-2016 Latvia 1995-2016 South Africa 2008-2016 Cape Verde 2001-2016 Lesotho 2001-2016 South Sudan 2011-2015 Chad 2001-2016 Lithuania 1995-2016 Sri Lanka 2001-2016 Chile 2002-2016 Luxembourg 2002-2016 St. Lucia 2001-2016 China, Mainland 2006-2016 Macedonia, FYR 2005-2016 St. Vincent 2001-2016 Colombia 1996-2016 Malaysia 2001-2016 Sudan 2001-2016 Comoros 2001-2016 Maldives 2001-2016 Sao Tome and Principe 2006-2016 Congo, Dem. Rep. of 2000-2016 Mali 2001-2016 Tajikistan 2001-2016 Congo, Republic of 2001-2016 Malta 1995-2016 Tanzania 2008-2016 Costa Rica 2001-2016 Mauritius 2007-2016 Timor Leste 2003-2016 Cote D Ivoire 2001-2016 Moldova 2001-2016 Togo 2001-2016 Croatia 2001-2016 Mongolia 2001-2016 Tonga 2001-2016 Cyprus 1995-2016 Morocco 2001-2016 Trinidad and Tobago 2001-2016 Dominica 2001-2016 Mozambique 2001-2016 U.A.E. 2008-2016 Dominican Republic 2001-2016 Myanmar 2001-2016 Uganda 2003-2016 Ecuador 2002-2016 Nepal 2002-2016 Ukraine 1995-2016 Egypt 2004-2016 New Zealand 1990-2016 Uruguay 2001-2016 El Salvador 2001-2016 Nicaragua 2001-2016 Vanuatu 2001-2016 Eritrea 2001-2006 Niger 2001-2016 Venezuela 2001-2014 Estonia 1995-2016 Oman 2007-2015 Zambia 2001-2016 Georgia 2001-2016 Pakistan 2006-2016 4

Table 3: Summary Statistics Panel A: Full Sample N Mean Median SD SD SD( 3 y) Ser. Cor. 3 y 2333 10.93 10.36 8.85 1.00 0.79 3 d P rivate 2358 6.13 4.40 18.67 2.11 0.78 2358 2.79 1.90 5.70 0.64 0.78 3 d F 2358 3.34 2.19 16.19 1.83 0.70 3 d Gov 2144-0.79 0.69 19.18 2.17 0.72 Panel B: Mian et al. (2017) Sample N Mean Median SD SD SD( 3 y) Ser. Cor. 3 y 683 9.69 9.28 6.66 1.00 0.71 3 d P rivate 684 8.27 6.74 14.48 2.18 0.74 684 4.41 3.57 5.99 0.90 0.79 3 d F 684 3.85 3.18 11.19 1.68 0.69 3 d Gov 631 1.63 1.11 9.14 1.37 0.71 Panel C: Not-Mian et al. (2017) Sample N Mean Median SD SD SD( 3 y) Ser. Cor. 3 y 1384 12.53 12.34 9.57 1.00 0.79 3 d P rivate 1387 5.33 3.37 21.10 2.21 0.78 1387 2.30 1.39 4.99 0.52 0.78 3 d F 1387 3.03 1.72 18.94 1.98 0.70 3 d Gov 1245-3.36-0.29 23.11 2.41 0.72 5

Table 4: Credit Expansion and Contemporaneous and Future Three-Year GDP Growth Panel A: Full Sample Dependent variable: 3 y it+k, k = 1, 0,..., 5 3 y 3 y it 3 y it+1 3 y it+2 3 y it+3 3 y it+4 3 y it+5 0.133 + 0.0536-0.0959-0.259-0.392-0.408-0.356 (0.0747) (0.0740) (0.0772) (0.0834) (0.0933) (0.0886) (0.0800) 3 d F 0.00499-0.0368-0.0538-0.0531-0.0335-0.00791 0.0160 (0.0190) (0.0272) (0.0250) (0.0162) (0.0118) (0.0137) (0.0209) R 2 0.0112 0.00697 0.0257 0.0602 0.0927 0.0875 0.0631 Observations 2195 2060 1927 1795 1660 1530 1398 Panel B: Mian et al. (2017) Sample Dependent variable: 3 y it+k, k = 1, 0,..., 5 (1) (2) (3) (4) (5) (6) (7) 3 y 3 y it 3 y it+1 3 y it+2 3 y it+3 3 y it+4 3 y it+5 0.145 + 0.110-0.0232-0.184-0.334-0.390-0.384 (0.0767) (0.0766) (0.0722) (0.0744) (0.0837) (0.0912) (0.103) 3 d F -0.0702-0.137-0.141-0.0884-0.0287 0.0326 0.0776 (0.0535) (0.0556) (0.0482) (0.0403) (0.0385) (0.0427) (0.0393) R 2 0.0237 0.0530 0.0674 0.0715 0.102 0.111 0.107 Observations 864 867 865 837 809 781 753 Panel C: Not-Mian et al. (2017) Sample Dependent variable: 3 y it+k, k = 1, 0,..., 5 (1) (2) (3) (4) (5) (6) (7) 3 y 3 y it 3 y it+1 3 y it+2 3 y it+3 3 y it+4 3 y it+5 0.219 + 0.0692-0.148-0.349-0.487-0.468-0.343 (0.119) (0.116) (0.117) (0.146) (0.193) (0.184) (0.159) 3 d F 0.0131-0.0157-0.0324-0.0406-0.0325-0.0188-0.00838 (0.0153) (0.0175) (0.0162) (0.0111) (0.00941) (0.00915) (0.0116) R 2 0.0210 0.00233 0.0188 0.0604 0.0919 0.0773 0.0398 Observations 1276 1168 1062 958 851 749 645 6

Table 5: Household Debt Expansion Predicts Lower Subsequent Growth 3 d P rivate Panel A: Full Sample Dependent variable: 3 y it+3 (1) (2) (3) (4) (5) (6) -0.0674 (0.0233) -0.371-0.353-0.345-0.342 (0.0894) (0.0897) (0.0797) (0.0827) 3 d F -0.0502-0.0213-0.0205-0.0158 (0.0153) (0.0107) (0.00805) (0.00800) 3 d Gov -0.0119 (0.0168) R 2 0.0331 0.0742 0.0146 0.0766 0.0815 0.0803 Observations 1809 1801 1809 1801 1769 1610 3 d P rivate Panel B: Mian et al. (2017) Sample Dependent variable: 3 y it+3 (1) (2) (3) (4) (5) (6) -0.111 (0.0311) -0.344-0.326-0.352-0.361 (0.0784) (0.0834) (0.0859) (0.0903) 3 d F -0.0814 + -0.0332-0.0514-0.0272 (0.0419) (0.0392) (0.0408) (0.0460) 3 d Gov 0.0739 (0.0566) R 2 0.0592 0.0975 0.0205 0.101 0.131 0.146 Observations 791 791 791 791 777 710 3 d P rivate Panel C: Not-Mian et al. (2017) Sample Dependent variable: 3 y it+3 (1) (2) (3) (4) (5) (6) -0.0517 (0.0227) -0.396-0.371-0.299-0.254 + (0.167) (0.167) (0.143) (0.138) 3 d F -0.0417-0.0183-0.0124-0.00900 (0.0146) (0.00719) (0.00378) (0.00208) 3 d Gov -0.0222 (0.0161) R 2 0.0229 0.0544 0.0127 0.0567 0.0793 0.0770 Observations 969 961 969 7 961 948 857