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What are the triggers for arrears on debt over a business cycle? Evidence from panel data

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  • Merike Kukk

Abstract

The paper investigates the triggers of arrears on debt in a full recourse euro area country. An extensive individual‐level quarterly panel dataset enables quarterly arrears on debt to be tracked while controlling for individual specific heterogeneity. The estimations show that lower income and higher debt service ratios are associated with a higher probability of arrears, confirming the “ability to pay” hypothesis. The results reveal different debt repayment behaviour for housing and consumer loans over a business cycle. Newly taken housing loans exhibit a lower probability of arrears and the same applies to loans granted during the period of easy credit conditions and high real estate prices, indicating that housing credit boom has not contributed to the rise in arrears on debt. Newly taken consumer loans are related to a higher probability of arrears, suggesting that consumer loans have been used to alleviate financial difficulties.

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  • Merike Kukk, 2023. "What are the triggers for arrears on debt over a business cycle? Evidence from panel data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2811-2833, July.
    • Handle: RePEc:wly:ijfiec:v:28:y:2023:i:3:p:2811-2833
    DOI: 10.1002/ijfe.2565
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    1. Mocetti, Sauro & Viviano, Eliana, 2017. "Looking behind mortgage delinquencies," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 53-63.
    2. Annamaria Lusardi & Daniel Schneider & Peter Tufano, 2011. "Financially Fragile Households: Evidence and Implications," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(1 (Spring), pages 83-150.
    3. Wooldridge, Jeffrey M., 1995. "Selection corrections for panel data models under conditional mean independence assumptions," Journal of Econometrics, Elsevier, vol. 68(1), pages 115-132, July.
    4. Thomas P. Boehm & Alan M. Schlottmann, 2017. "Mortgage Payment Problem Development and Recovery: A Joint Probability Model Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 55(4), pages 476-510, November.
    5. Elisabeth Beckmann & Jarko Fidrmuc & Helmut Stix, 2012. "Foreign Currency Loans and Loan Arrears of Households in Central and Eastern Europe," Working Papers 181, Oesterreichische Nationalbank (Austrian Central Bank).
    6. Semykina, Anastasia & Wooldridge, Jeffrey M., 2010. "Estimating panel data models in the presence of endogeneity and selection," Journal of Econometrics, Elsevier, vol. 157(2), pages 375-380, August.
    7. repec:onb:oenbwp:y:2012:i:181:b:1 is not listed on IDEAS
    8. Foote, Christopher L. & Gerardi, Kristopher & Willen, Paul S., 2008. "Negative equity and foreclosure: Theory and evidence," Journal of Urban Economics, Elsevier, vol. 64(2), pages 234-245, September.
    9. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 47(1), pages 225-238.
    10. Sutt, Andres & Korju, Helen & Siibak, Kadri, 2011. "The role of macro-prudential policies in the boom and adjustment phase of the credit cycle in Estonia," Policy Research Working Paper Series 5835, The World Bank.
    11. Ampudia, Miguel & van Vlokhoven, Has & Żochowski, Dawid, 2016. "Financial fragility of euro area households," Journal of Financial Stability, Elsevier, vol. 27(C), pages 250-262.
    12. Haughwout, Andrew & Peach, Richard & Tracy, Joseph, 2008. "Juvenile delinquent mortgages: Bad credit or bad economy?," Journal of Urban Economics, Elsevier, vol. 64(2), pages 246-257, September.
    13. Patrick Bajari & Chenghuan Sean Chu & Minjung Park, 2008. "An Empirical Model of Subprime Mortgage Default From 2000 to 2007," NBER Working Papers 14625, National Bureau of Economic Research, Inc.
    14. Andra C. Ghent & Marianna Kudlyak, 2011. "Recourse and Residential Mortgage Default: Evidence from US States 1," The Review of Financial Studies, Society for Financial Studies, vol. 24(9), pages 3139-3186.
    15. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    16. Reamonn Lyndon & Yvonne McCarthy, 2013. "What Lies Beneath? Understanding Recent Trends in Irish Mortgage Arrears," The Economic and Social Review, Economic and Social Studies, vol. 44(1), pages 117-150.
    17. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    18. Andreas Fuster & Paul S. Willen, 2017. "Payment Size, Negative Equity, and Mortgage Default," American Economic Journal: Economic Policy, American Economic Association, vol. 9(4), pages 167-191, November.
    19. Kelly, Robert & O’Malley, Terence, 2016. "The good, the bad and the impaired: A credit risk model of the Irish mortgage market," Journal of Financial Stability, Elsevier, vol. 22(C), pages 1-9.
    20. Crowe, Christopher & Dell’Ariccia, Giovanni & Igan, Deniz & Rabanal, Pau, 2013. "How to deal with real estate booms: Lessons from country experiences," Journal of Financial Stability, Elsevier, vol. 9(3), pages 300-319.
    21. Orla May & Merxe Tudela, 2005. "When is mortgage indebtedness a financial burden to British households? A dynamic probit approach," Bank of England working papers 277, Bank of England.
    22. Boheim, Rene & Taylor, Mark P., 2000. "My Home Was My Castle: Evictions and Repossessions in Britain," Journal of Housing Economics, Elsevier, vol. 9(4), pages 287-319, December.
    23. Joshua D. Angrist & Jörn-Steffen Pischke, 2014. "Mastering ’Metrics: The Path from Cause to Effect," Economics Books, Princeton University Press, edition 1, number 10363.
    24. Neil Bhutta & Jane Dokko & Hui Shan, 2017. "Consumer Ruthlessness and Mortgage Default during the 2007 to 2009 Housing Bust," Journal of Finance, American Finance Association, vol. 72(6), pages 2433-2466, December.
    25. Gyourko, Joseph & Tracy, Joseph, 2014. "Reconciling theory and empirics on the role of unemployment in mortgage default," Journal of Urban Economics, Elsevier, vol. 80(C), pages 87-96.
    26. Jaanika Meriküll & Tairi Rõõm, 2020. "Stress Tests of the Household Sector Using Microdata from Survey and Administrative Sources," International Journal of Central Banking, International Journal of Central Banking, vol. 16(2), pages 203-248, March.
    27. Juan Carlos Cuestas & Merike Kukk, 2020. "The interaction between housing prices and housing credit: evidence from a country with rapid credit accumulation," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(1), pages 191-209, May.
    28. Ciochetti, Brian A. & Deng, Yongheng & Lee, Gail & Shilling, James D. & Yao, Rui, 2003. "A Proportional Hazards Model of Commercial Mortgage Default with Originator Bias," The Journal of Real Estate Finance and Economics, Springer, vol. 27(1), pages 5-23, July.
    29. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    30. Burcu Duygan-Bump & Charles Grant, 2009. "Household debt repayment behaviour: what role do institutions play? [‘Welfare implications of the Bankruptcy Reform Act of 1999’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 24(57), pages 108-140.
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    1. Kukk, Merike & Levenko, Natalia, 2024. "Interest rate spreads: Different stories for different types of loan," Research in International Business and Finance, Elsevier, vol. 72(PA).

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