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Risk Heterogeneity and Credit Supply: Evidence from the Mortgage Market

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  • Timothy Besley
  • Neil Meads
  • Paolo Surico

Abstract

This paper uses a unique data set on more than 600,000 mortgage contracts to estimate a credit supply function which allows for risk-heterogeneity. Non-linearity is modeled using quantile regressions. We propose an instrumental variable approach in which changes in the tax treatment of housing transactions are used as an instrument for loan demand. The results are suggestive of considerable risk heterogeneity with riskier borrowers penalized more for borrowing more.

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File URL: http://www.jstor.org/stable/full/10.1086/669185
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Bibliographic Info

Article provided by University of Chicago Press in its journal NBER Macroeconomics Annual.

Volume (Year): 27 (2013)
Issue (Month): 1 ()
Pages: 375 - 419

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Handle: RePEc:ucp:macann:doi:10.1086/669185

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Web page: http://www.journals.uchicago.edu/MA/

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  1. Angel López-Nicolás & Jaume García & Pedro J. Hernández, 2001. "How wide is the gap? An investigation of gender wage differences using quantile regression," Empirical Economics, Springer, vol. 26(1), pages 149-167.
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  4. Yongheng Deng & John M. Quigley & Robert Van Order, 2000. "Mortgage Terminations, Heterogeneity and the Exercise of Mortgage Options," Econometrica, Econometric Society, vol. 68(2), pages 275-308, March.
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  7. Andrew Chesher, 2003. "Nonparametric identification under discrete variation," CeMMAP working papers CWP19/03, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  8. Victor Chernozhukov & Christian Hansen, 2004. "The Effects of 401(K) Participation on the Wealth Distribution: An Instrumental Quantile Regression Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 735-751, August.
  9. George A. Akerlof, 2009. "How Human Psychology Drives the Economy and Why It Matters," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1175-1175.
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  11. Tsai, Ming-Shann & Liao, Szu-Lang & Chiang, Shu-Ling, 2009. "Analyzing yield, duration and convexity of mortgage loans under prepayment and default risks," Journal of Housing Economics, Elsevier, vol. 18(2), pages 92-103, June.
  12. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-29, October.
  13. Benjamin J. Keys & Tanmoy Mukherjee & Amit Seru & Vikrant Vig, 2010. "Did Securitization Lead to Lax Screening? Evidence from Subprime Loans," The Quarterly Journal of Economics, MIT Press, vol. 125(1), pages 307-362, February.
  14. Gabriel Jiménez & Atif Mian & José-Luis Peydró & Jesús Saurina, 2011. "Local versus aggregate lending channels: the effects of securitization on corporate credit supply," Banco de Espa�a Working Papers 1124, Banco de Espa�a.
  15. Gabriel Jimenez & Steven Ongena & Jose-Luis Peydro & Jesus Saurina, 2012. "Credit Supply and Monetary Policy: Identifying the Bank Balance-Sheet Channel with Loan Applications," American Economic Review, American Economic Association, vol. 102(5), pages 2301-26, August.
  16. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, 01.
  17. Atif Mian & Amir Sufi, 2009. "The Consequences of Mortgage Credit Expansion: Evidence from the U.S. Mortgage Default Crisis," The Quarterly Journal of Economics, MIT Press, vol. 124(4), pages 1449-1496, November.
  18. Atif Mian & Amir Sufi, 2008. "The Consequences of Mortgage Credit Expansion: Evidence from the 2007 Mortgage Default Crisis," NBER Working Papers 13936, National Bureau of Economic Research, Inc.
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