IDEAS home Printed from https://ideas.repec.org/p/boe/boeewp/214.html
   My bibliography  Save this paper

An empirical model of household arrears

Author

Listed:
  • John Whitley
  • Richard Windram
  • Prudence Cox

Abstract

Household arrears on payment obligations are one of the most direct measures of household sector financial stress. In this paper a time series approach is used to model two of the key components of aggregate UK household arrears: those on mortgages and credit cards. Mortgages are the main component of secured borrowing by households and credit cards are a key element in unsecured borrowing. Recent data show that both secured and unsecured debt have risen substantially, both absolutely and as a proportion of income since 1997. Unsecured debt has increased more rapidly over this period and so has become more important in overall household debt. During this period of rapid debt accumulation, the proportion of mortgage loans in arrears has fallen but the value of credit card arrears relative to the value of active card balances has risen. These differences in the behaviour of arrears are explained by reference to the underlying driving forces identified in previous empirical work. In particular the level of housing equity appears to be more important in explaining mortgage arrears, and the role of supply factors is highlighted for credit card arrears. Although the estimated models confirm that both income and interest repayments (and therefore income gearing) are important factors in explaining both forms of arrears, unemployment only plays an additional role for mortgage arrears. Joint testing of the two models suggests a role for the ratio of the value of the mortgage loan to the value of housing equity for both kinds of arrears, but with opposing effects. In the case of mortgage arrears this might reflect the lenders' perceptions of the quality of the borrower. Credit card arrears appear to contain some information about future mortgage arrears although the reverse does not hold. Both equations adjust relatively quickly to any shocks, typically in around two years. The significance of the income-gearing term for both types of arrears underlines the importance of the path of interest rates for the financial position of the UK household sector.

Suggested Citation

  • John Whitley & Richard Windram & Prudence Cox, 2004. "An empirical model of household arrears," Bank of England working papers 214, Bank of England.
  • Handle: RePEc:boe:boeewp:214
    as

    Download full text from publisher

    File URL: http://www.bankofengland.co.uk/research/Documents/workingpapers/2004/WP214.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Brookes, Martin & Dicks, Mike & Pradhan, Mahmood, 1994. "An empirical model of mortgage arrears and repossessions," Economic Modelling, Elsevier, vol. 11(2), pages 134-144, April.
    2. Lambrecht, Bart & Perraudin, William & Satchell, Stephen, 1997. "Time to default in the UK mortgage market," Economic Modelling, Elsevier, vol. 14(4), pages 485-499, October.
    3. Donald P. Morgan & Ian Toll, 1997. "Bad debt rising," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 3(Mar).
    4. Loretta J. Mester, 1997. "What's the point of credit scoring?," Business Review, Federal Reserve Bank of Philadelphia, issue Sep, pages 3-16.
    5. David B. Gross & Nicholas S. Souleles, 2002. "Do Liquidity Constraints and Interest Rates Matter for Consumer Behavior? Evidence from Credit Card Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 149-185.
    6. Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992. "The Power of Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 325-348, August.
    7. David B. Gross, 2002. "An Empirical Analysis of Personal Bankruptcy and Delinquency," The Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 319-347, March.
    8. Sandra E. Black & Donald P. Morgan, 1998. "Risk and the democratization of credit cards," Research Paper 9815, Federal Reserve Bank of New York.
    9. Elizabeth Laderman, 1996. "What's behind problem credit card loans?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue jul19.
    10. Johansen, Søren & Juselius, Katarina, 1992. "Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 211-244.
    11. Lucia Dunn & TaeHyung Kim, 1999. "Empirical Investigation of Credit Card Default," Working Papers 99-13, Ohio State University, Department of Economics.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lucia Dunn & TaeHyung Kim, 1999. "Empirical Investigation of Credit Card Default," Working Papers 99-13, Ohio State University, Department of Economics.
    2. Tufan Ekici & Lucia Dunn, 2010. "Credit card debt and consumption: evidence from household-level data," Applied Economics, Taylor & Francis Journals, vol. 42(4), pages 455-462.
    3. Paula Lopes, 2008. "Credit Card Debt and Default over the Life Cycle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(4), pages 769-790, June.
    4. Lucia Dunn & Tufan Ekici & Paul J. Lavrakas & Jeffery A. Stec, 2004. "An Index to Track Credit Card Debt and Predict Consumption," Working Papers 04-04, Ohio State University, Department of Economics.
    5. Mankart, Jochen, 2014. "The (Un-) importance of Chapter 7 wealth exemption levels," Journal of Economic Dynamics and Control, Elsevier, vol. 38(C), pages 1-16.
    6. Scholnick, Barry & Massoud, Nadia & Saunders, Anthony & Carbo-Valverde, Santiago & Rodríguez-Fernández, Francisco, 2008. "The economics of credit cards, debit cards and ATMs: A survey and some new evidence," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1468-1483, August.
    7. Mateos-Planas, Xavier, 2009. "A model of credit limits and bankruptcy with applications to welfare and indebtedness," Discussion Paper Series In Economics And Econometrics 0910, Economics Division, School of Social Sciences, University of Southampton.
    8. Hilde C Bjørnland & Håvard Hungnes, 2008. "The Commodity Currency Puzzle," The IUP Journal of Monetary Economics, IUP Publications, vol. 0(2), pages 7-30, May.
    9. Ingrid Groessl & Artur Tarassow, 2015. "A Microfounded Model of Money Demand Under Uncertainty, and some Empirical Evidence," Macroeconomics and Finance Series 201504, University of Hamburg, Department of Socioeconomics, revised Jan 2018.
    10. Emilio Fernandez-Corugedo & John Muellbauer, 2006. "Consumer credit conditions in the United Kingdom," Bank of England working papers 314, Bank of England.
    11. Janine Aron & John Muellbauer, 2010. "Modelling and Forecasting UK Mortgage Arrears and Possessions," Economics Series Working Papers 499, University of Oxford, Department of Economics.
    12. Irina A. Telyukova, 2013. "Household Need for Liquidity and the Credit Card Debt Puzzle," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(3), pages 1148-1177.
    13. Cheng, X. & Degryse, H.A., 2010. "Information Sharing and Credit Rationing : Evidence from the Introduction of a Public Credit Registry," Discussion Paper 2010-34S, Tilburg University, Center for Economic Research.
    14. Adil, Masudul Hasan & Haider, Salman & Hatekar, Neeraj, 2018. "The empirical verification of money demand in case of India: Post-reform era," MPRA Paper 87148, University Library of Munich, Germany, revised 07 Jun 2018.
    15. Jambulapati, Vikram & Stavins, Joanna, 2014. "Credit CARD Act of 2009: What did banks do?," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 21-30.
    16. Martin B. Schmidt, 2001. "Savings and Investment: Some International Perspectives," Southern Economic Journal, John Wiley & Sons, vol. 68(2), pages 446-456, October.
    17. Sougata Kerr & Lucia Dunn & Stephen Cosslett, 2004. "Do Banks Use Private Information from Consumer Accounts? Evidence of Relationship Lending in Credit Card Interest Rate Heterogeneity," Working Papers 04-08, Ohio State University, Department of Economics.
    18. Caporale, Guglielmo Maria & Williams, Geoffrey, 2002. "Long-term nominal interest rates and domestic fundamentals," Review of Financial Economics, Elsevier, vol. 11(2), pages 119-130.
    19. Astrid A. Dick & Andreas Lehnert, 2010. "Personal Bankruptcy and Credit Market Competition," Journal of Finance, American Finance Association, vol. 65(2), pages 655-686, April.
    20. Mateos-Planas, Xavier, 2009. "A model of credit limits and bankruptcy with applications to welfare and indebtedness," Discussion Paper Series In Economics And Econometrics 910, Economics Division, School of Social Sciences, University of Southampton.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boe:boeewp:214. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Digital Media Team (email available below). General contact details of provider: https://edirc.repec.org/data/boegvuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.