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The role of neighborhood characteristics in mortgage default risk: evidence from New York City

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  • Chan, Sewin
  • Gedal, Michael
  • Been, Vicki
  • Haughwout, Andrew

Abstract

Using a rich database of non-prime mortgages from New York City, we find that census tract level neighborhood characteristics are important predictors of default behavior, even after controlling for an extensive set of controls for loan and borrower characteristics. First, default rates increase with the rate of foreclosure notices and the number of lender-owned properties (REOs) in the tract. Second, default rates on home purchase mortgages are higher in census tracts with larger shares of black residents, regardless of the borrower’s own race. We explore possible explanations for this second finding and conclude that it likely reflects differential treatment of black neighborhoods by the mortgage industry in ways that are unobserved in our data.

Suggested Citation

  • Chan, Sewin & Gedal, Michael & Been, Vicki & Haughwout, Andrew, 2011. "The role of neighborhood characteristics in mortgage default risk: evidence from New York City," MPRA Paper 33941, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:33941
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    Cited by:

    1. Niu, Yi & Ding, Chengri, 2015. "Unemployment matters: Improved measures of labor market distress in mortgage default analysis," Regional Science and Urban Economics, Elsevier, vol. 52(C), pages 27-38.
    2. Fernando Ferreira & Joseph Gyourko, 2015. "A New Look at the U.S. Foreclosure Crisis: Panel Data Evidence of Prime and Subprime Borrowers from 1997 to 2012," NBER Working Papers 21261, National Bureau of Economic Research, Inc.
    3. Chauvet, Marcelle & Gabriel, Stuart & Lutz, Chandler, 2016. "Mortgage default risk: New evidence from internet search queries," Journal of Urban Economics, Elsevier, vol. 96(C), pages 91-111.
    4. Schweikert, Jochen & Höchstötter, Markus, 2018. "Epidemiological spreading of mortgage default," Working Paper Series in Economics 112, Karlsruhe Institute of Technology (KIT), Department of Economics and Business Engineering.
    5. J. Michael Collins & Carolina Reid, 2010. "Who receives a mortgage modification? Race and income differentials in loan workouts," Community Development Investment Center Working Paper 2010-07, Federal Reserve Bank of San Francisco.
    6. M. Dietsch & C. Welter-Nicol, 2014. "Do LTV and DSTI caps make banks more resilient?," Débats économiques et financiers 13, Banque de France.
    7. Chan, Sewin & Haughwout, Andrew & Tracy, Joseph, 2015. "How Mortgage Finance Affects the Urban Landscape," Handbook of Regional and Urban Economics, Elsevier.
    8. Dietsch, Michel & Petey, Joël, 2015. "The credit-risk implications of home ownership promotion: The effects of public subsidies and adjustable-rate loans," Journal of Housing Economics, Elsevier, vol. 28(C), pages 103-120.
    9. Saty Patrabansh, 2015. "The Marginal Effect of First-Time Homebuyer Status on Mortgage Default and Prepayment," FHFA Staff Working Papers 15-02, Federal Housing Finance Agency.
    10. Selma Hepp, 2013. "Foreclosures and Metropolitan Spatial Structure: Establishing the Connection," Housing Policy Debate, Taylor & Francis Journals, vol. 23(3), pages 497-520, July.
    11. Been, Vicki & Weselcouch, Mary & Voicu, Ioan & Murff, Scott, 2013. "Determinants of the incidence of U.S. Mortgage Loan Modifications," Journal of Banking & Finance, Elsevier, vol. 37(10), pages 3951-3973.
    12. Selma Hepp, 2013. "Zoning Restrictiveness and Housing Foreclosures: Exploring a New Link to the Subprime Mortgage Crisis," Housing Policy Debate, Taylor & Francis Journals, vol. 23(2), pages 460-462, April.
    13. Sewin Chan & Claudia Sharygin & Vicki Been & Andrew Haughwout, 2014. "Pathways After Default: What Happens to Distressed Mortgage Borrowers and Their Homes?," The Journal of Real Estate Finance and Economics, Springer, vol. 48(2), pages 342-379, February.

    More about this item

    Keywords

    mortgage; default; neighborhoods; race;

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

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