Mortgage Lending, Sample Selection and Default
AbstractTraditional models of mortgage default suffer from sample-selection bias because they do not control for the loan approval process. This paper estimates a sample-selection-corrected default model using the 1990 Boston Federal Reserve loan application sample and the 1992 Federal Housing Authority (FHA) foreclosure sample. A single-equation FHA default model appears to suffer from substantial selection bias, but the bias primarily arises from the omission of credit history and other variables that are only in the application sample. Therefore, default models that contain detailed information on applicants may not suffer from substantial selection bias. Finally, a test for prejudice-based discrimination is developed and conducted, but the findings are inconclusive. Copyright American Real Estate and Urban Economics Association.
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Bibliographic InfoArticle provided by American Real Estate and Urban Economics Association in its journal Real Estate Economics.
Volume (Year): 28 (2000)
Issue (Month): 4 ()
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- Luis Diaz-Serrano, 2005. "Income Volatility and Residential Mortgage Delinquency: Evidence from 12 EU countries," Economics, Finance and Accounting Department Working Paper Series n1530205, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
- Robert J. GARY-BOBO & Sophie LARRIBEAU, 2003.
"The Bank's Market Power and the Interest-Rate Elasticity of Demand for Housing: An Econometric Study of Discrimination on French Mortgage Data,"
Annales d'Economie et de Statistique,
ENSAE, issue 71-72, pages 377-398.
- Gary-Bobo, Robert J. & Larribeau, Sophie, 2003. "The Bank's Market Power and the Interest Rate Elasticity of Demand for Housing: An Econometric Study of Discrimination on French Mortgage Data," CEPR Discussion Papers 3745, C.E.P.R. Discussion Papers.
- Diaz-Serrano, Luis, 2005. "Income volatility and residential mortgage delinquency across the EU," Journal of Housing Economics, Elsevier, vol. 14(3), pages 153-177, September.
- Dhammika Dharmapala & Stephen L. Ross, 2003.
"Racial Bias in Motor Vehicle Searches: Additional Theory and Evidence,"
2003-12, University of Connecticut, Department of Economics, revised Dec 2003.
- Dharmapala Dhammika & Ross Stephen L, 2004. "Racial Bias in Motor Vehicle Searches: Additional Theory and Evidence," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(1), pages 1-23, September.
- Song Han, 2002. "On the economics of discrimination in credit markets," Finance and Economics Discussion Series 2002-2, Board of Governors of the Federal Reserve System (U.S.).
- Diaz-Serrano, Luis, 2004. "Income Volatility and Residential Mortgage Delinquency: Evidence from 12 EU Countries," IZA Discussion Papers 1396, Institute for the Study of Labor (IZA).
- Song Han, 2011. "Creditor Learning and Discrimination in Lending," Journal of Financial Services Research, Springer, vol. 40(1), pages 1-27, October.
- Stephen L. Ross, 2003. "What Is Known about Testing for Discrimination: Lessons Learned by Comparing across Different Markets," Working papers 2003-21, University of Connecticut, Department of Economics, revised Nov 2003.
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