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Statistical Evidence of Mortgage Redlining? A Cautionary Tale

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Abstract

Statistical analyses of mortgage redlining at the neighborhood level have fueled the debate over the existence of racial redlining in mortgage lending, both "proving" and "disproving" that redlining exists, depending upon the type of model used. In this paper, we compare results of different statistical models using data for the Washington, DC metropolitan area to determine their usefulness in providing statistical evidence on this issue. After demonstrating the sensitivity of single-equation models to specification error, we estimate a simultaneous equations model of mortgage credit flows. This model makes it possible to analyze differences in the supply and demand for mortgage credit by the racial composition of the community. We conclude that most, if not all, statistical evidence of racial redlining based on aggregate loan data is at best inconclusive, and more likely, misleading.

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  • Fred J. Phillips-Patrick & Clifford V. Rossi, 1996. "Statistical Evidence of Mortgage Redlining? A Cautionary Tale," Journal of Real Estate Research, American Real Estate Society, vol. 11(1), pages 13-24.
    • Handle: RePEc:jre:issued:v:11:n:1:1996:p:13-24
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    1. Becker, Gary S., 1971. "The Economics of Discrimination," University of Chicago Press Economics Books, University of Chicago Press, edition 2, number 9780226041162, December.
    2. Michael H. Schill & Susan M. Wachter, "undated". "A Tale of Two Cities: Racial and Ethnic Geographic Disparities in Home Mortgage Lending in Boston and Philadelphia," Rodney L. White Center for Financial Research Working Papers 16-93, Wharton School Rodney L. White Center for Financial Research.
    3. Holmes, Andrew & Horvitz, Paul, 1994. "Mortgage Redlining: Race, Risk, and Demand," Journal of Finance, American Finance Association, vol. 49(1), pages 81-99, March.
    4. 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.
    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.
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    Cited by:

    1. Ethan Cohen-Cole, 2008. "Credit card redlining," Supervisory Research and Analysis Working Papers QAU08-1, Federal Reserve Bank of Boston.
    2. Solomon Y. Deku & Alper Kara & Philip Molyneux, 2016. "Access to consumer credit in the UK," The European Journal of Finance, Taylor & Francis Journals, vol. 22(10), pages 941-964, August.
    3. Alper Kara & Philip Molyneux, 2017. "Household Access to Mortgages in the UK," Journal of Financial Services Research, Springer;Western Finance Association, vol. 52(3), pages 253-275, December.
    4. Donald R. Epley & Kartono Liano, 1999. "The Residential Mortgage Supply Function of Commercial Banks," Urban Studies, Urban Studies Journal Limited, vol. 36(11), pages 1959-1971, October.
    5. Harrison, David M., 2001. "The Importance of Lender Heterogeneity in Mortgage Lending," Journal of Urban Economics, Elsevier, vol. 49(2), pages 285-309, March.
    6. C. Sirmans & Barrett Slade, 2012. "National Transaction-based Land Price Indices," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 829-845, November.
    7. Henry J. Munneke & C.F. Sirmans & Barrett A. Slade & Geoffrey K. Turnbull, 2014. "Housing Regulation, Externalities and Residential Property Prices," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(2), pages 422-456, June.

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    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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