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Estimation of mortgage lending credit risk

Author

Listed:
  • Agatha Lozinskaya

    (Higher School of Economics (Perm Branch))

  • Evgeniy Ozhegov

    (Higher School of Economics (Perm Branch))

Abstract

The paper analyzes the problems of credit risk modeling on the Russian residential mortgage market. The structural model of the credit risk evaluation, which controls for the sample selection bias and endogeneity, is presented. It estimates based on the regional mortgage data. Obtained results can be used to develop the effective risk management systems in credit organizations.

Suggested Citation

  • Agatha Lozinskaya & Evgeniy Ozhegov, 2014. "Estimation of mortgage lending credit risk," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 35(3), pages 3-17.
    • Handle: RePEc:ris:apltrx:0241
    as

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    References listed on IDEAS

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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Orazio P. Attanasio & Pinelopi Koujianou Goldberg & Ekaterini Kyriazidou, 2008. "Credit Constraints In The Market For Consumer Durables: Evidence From Micro Data On Car Loans," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 49(2), pages 401-436, May.
    3. James Heckman, 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.
    4. Ludmila Nivorozhkina & Lilia Ovcharova & Tatiana Sinyavskaya, 2013. "Econometric modeling risk of consumer loans," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 30(2), pages 65-76.
    5. Munnell, Alicia H. & Geoffrey M. B. Tootell & Lynn E. Browne & James McEneaney, 1996. "Mortgage Lending in Boston: Interpreting HMDA Data," American Economic Review, American Economic Association, vol. 86(1), pages 25-53, March.
    6. 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.
    7. Brent W. Ambrose & Michael LaCour‐Little & Anthony B. Sanders, 2004. "The Effect of Conforming Loan Status on Mortgage Yield Spreads: A Loan Level Analysis," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(4), pages 541-569, December.
    8. Robert F. Phillips & Robert P. Trost & Anthony M.J. Yezer, 1994. "Bias in estimates of discrimination and default in mortgage lending: the effects of simultaneity and self-selection," Proceedings, Federal Reserve Bank of Philadelphia, pages 197-222.
    9. Stephen L Ross, 2000. "Mortgage Lending, Sample Selection and Default," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 28(4), pages 581-621.
    10. Robert Phillips & Anthony Yezer, 1996. "Self-Selection and Tests for Bias and Risk in Mortgage Lending: Can You Price the Mortgage If You Don’t Know the Process?," Journal of Real Estate Research, Taylor & Francis Journals, vol. 11(1), pages 87-102, January.
    11. Mitali Das & Whitney K. Newey & Francis Vella, 2003. "Nonparametric Estimation of Sample Selection Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 70(1), pages 33-58.
    12. James R. Follain, 1990. "Mortgage Choice†," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 18(2), pages 125-144, June.
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    Cited by:

    1. Ekaterina Rumyantseva & Kirill Furmanov, 2016. "Modeling mortgage survival," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 41, pages 123-143.
    2. repec:hig:wpaper:30/fe/2014 is not listed on IDEAS
    3. Evgeniy Ozhegov, 2017. "Estimating the demand function for differentiated product with endogenous characteristics and heterogeneity of preferences: The case of mortgage loans," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 45, pages 93-115.
    4. Ekaterina Rumyantseva & Kirill Furmanov, 2017. "Realisation of mortgage property: Survival analysis," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 48, pages 22-43.

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    Keywords

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    JEL classification:

    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

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