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Credit scores, race, and residential sorting

Author Info

Listed author(s):
  • Ashlyn Aiko Nelson

    (Assistant Professor, School of Public and Environmental Affairs, Indiana University)

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    Abstract

    Credit scores have a profound impact on home purchasing power and mortgage pricing, yet little is known about how credit scores influence households' residential location decisions. This study estimates the effects of credit scores on residential sorting behavior using a novel mortgage industry data set combining household demographic, credit, and financial data with property location information and detailed community attribute data. I employ the data set to estimate a discrete-choice residential sorting model. I find that credit scores significantly predict residential sorting behavior and models that do not account for credit score provide biased estimates of housing utilities for black households in particular. Simulation results show that increases in credit score are associated with increases in the consumption of higher-priced homes in more expensive school districts, higher-quality public schools, and proximity to urban|metropolitan areas. © 2010 by the Association for Public Policy Analysis and Management.

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    File URL: http://hdl.handle.net/10.1002/pam.20478
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    Article provided by John Wiley & Sons, Ltd. in its journal Journal of Policy Analysis and Management.

    Volume (Year): 29 (2010)
    Issue (Month): 1 ()
    Pages: 39-68

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    Handle: RePEc:wly:jpamgt:v:29:y:2010:i:1:p:39-68
    DOI: 10.1002/pam.20478
    Contact details of provider: Web page: http://www3.interscience.wiley.com/journal/34787/home

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    1. Barakova, Irina & Bostic, Raphael W. & Calem, Paul S. & Wachter, Susan M., 2003. "Does credit quality matter for homeownership?," Journal of Housing Economics, Elsevier, vol. 12(4), pages 318-336, December.
    2. Patrick Bayer & Robert McMillan & Kim Rueben, 2004. "An Equilibrium Model of Sorting in an Urban Housing Market," NBER Working Papers 10865, National Bureau of Economic Research, Inc.
    3. Stephen L. Ross & John Yinger, 2002. "The Color of Credit: Mortgage Discrimination, Research Methodology, and Fair-Lending Enforcement," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262182289, July.
    4. Sandra J. Newman, 2008. "Does housing matter for poor families? A critical summary of research and issues still to be resolved," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(4), pages 895-925.
    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. Robert B. Avery & Paul S. Calem & Glenn B. Canner, 2003. "An overview of consumer data and credit reporting," Federal Reserve Bulletin, Board of Governors of the Federal Reserve System (U.S.), issue Feb, pages 47-73.
    7. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    8. Xudong An & Raphael W. Bostic, 2009. "Policy incentives and the extension of mortgage credit: Increasing market discipline for subprime lending," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 28(3), pages 340-365.
    9. Roberto Quercia & Jonathan Spader, 2008. "Does homeownership counseling affect the prepayment and default behavior of affordable mortgage borrowers?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(2), pages 304-325.
    10. Pennington-Cross, Anthony, 2003. "Credit History and the Performance of Prime and Nonprime Mortgages," The Journal of Real Estate Finance and Economics, Springer, vol. 27(3), pages 279-301, November.
    11. Elliehausen, Gregory E & Lawrence, Edward C, 1990. "Discrimination in Consumer Lending," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 156-160, February.
    12. Thomas J. Nechyba, 2000. "Mobility, Targeting, and Private-School Vouchers," American Economic Review, American Economic Association, vol. 90(1), pages 130-146, March.
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    Cited by:

    1. Darolia, Rajeev, 2014. "Working (and studying) day and night: Heterogeneous effects of working on the academic performance of full-time and part-time students," Economics of Education Review, Elsevier, vol. 38(C), pages 38-50.

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