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Income Shocks, Mortgage Repayment Risk and Financial Distress Among UK Households

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  • John Gathergood

Abstract

This paper examines the prevalence of mortgage arrears in the U.K using the British Household Panel Survey (BHPS). The majority of reported problems occur in the first few years after purchase. Episodes of unemployment, long-term sickness or relationship breakdown all predict repayment difficulties, as well as measures of leverage and income gearing at the point of origination. Using proxy measures for unemployment risk, ill-health risk and separation risk at the time of purchase, constructed from a variety of instruments, repayment difficulties are shown to be strongly correlated with ex ante repayment risk. This result raises questions about the efficiency of the mortgage lending process and the possibility that a significant proportion of mortgage arrears and defaults could be prevented by improved screening of repayment risk at the time of application.

Suggested Citation

  • John Gathergood, 2009. "Income Shocks, Mortgage Repayment Risk and Financial Distress Among UK Households," Discussion Papers 09/03, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    • Handle: RePEc:not:notcfc:09/03
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    References listed on IDEAS

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    1. 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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    Cited by:

    1. Mocetti, Sauro & Viviano, Eliana, 2017. "Looking behind mortgage delinquencies," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 53-63.
    2. Luong, Thi Mai & Scheule, Harald, 2022. "Benchmarking forecast approaches for mortgage credit risk for forward periods," European Journal of Operational Research, Elsevier, vol. 299(2), pages 750-767.
    3. Andrew Linn & Ronan C. Lyons, 2020. "Three Triggers? Negative Equity, Income Shocks and Institutions as Determinants of Mortgage Default," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 549-575, November.
    4. Kristopher Gerardi & Kyle F. Herkenhoff & Lee E. Ohanian & Paul S. Willen, 2018. "Can’t Pay or Won’t Pay? Unemployment, Negative Equity, and Strategic Default," The Review of Financial Studies, Society for Financial Studies, vol. 31(3), pages 1098-1131.
    5. Janine Aron & John Muellbauer, 2010. "Modelling and Forecasting UK Mortgage Arrears and Possessions," Economics Series Working Papers 499, University of Oxford, Department of Economics.
    6. Andrew Linn & Ronan C Lyons, 2018. "The Triple Trigger? Negative Equity, Income Shocks and Institutions as Determinants of Mortgage Default," Trinity Economics Papers tep0718, Trinity College Dublin, Department of Economics.
    7. Aron, Janine & Muellbauer, John, 2016. "“Modelling and forecasting mortgage delinquency and foreclosure in the UK.”," Journal of Urban Economics, Elsevier, vol. 94(C), pages 32-53.
    8. Lazarov, Vladimir & Hinterschweiger, Marc, 2018. "Determinants of distress in the UK owner-occupier and buy-to-let mortgage markets," Bank of England working papers 760, Bank of England.
    9. McCann, Fergal, 2014. "Modelling default transitions in the UK mortgage market," Research Technical Papers 18/RT/14, Central Bank of Ireland.
    10. 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.
    11. Sarah Brown, 2015. "Household repayment behaviour and neighbourhood effects," Urban Studies, Urban Studies Journal Limited, vol. 52(6), pages 1169-1188, May.

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