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Who defaults on their home mortgage?

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  • Doviak, Eric
  • MacDonald, Sean

Abstract

Since February 2010, detailed information on every home mortgage default and foreclosure in New York State must be filed with the New York State Banking Department (NYSBD). Pairing the NYSBD's data with data on originations from the Home Mortgage Disclosure Act (HMDA) enables us to identify the race and ethnicity of borrowers who defaulted on their home mortgages (in New York State). Like many previous studies, we find strong racial and ethnic disparities in lending practices, but we do not find conclusive evidence that HMDA-measurable forms of discrimination increased a borrower's probability of default. After controlling for other factors, we find that the interest rates charged to black and Latino borrowers tended to be higher than the ones charged to their white and non-Latino counterparts. This may be one reason why blacks and Latinos tend to default at a higher rate, but other factors, such as the tendency of black and Latino borrowers to take out larger loans than their white and non-Latino counterparts, may also have contributed to the higher default rate among black and Latino borrowers.

Suggested Citation

  • Doviak, Eric & MacDonald, Sean, 2011. "Who defaults on their home mortgage?," MPRA Paper 34275, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:34275
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    References listed on IDEAS

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    1. Lee C. Adkins, 2008. "Small Sample Performance of Instrumental Variables Probit Estimators: A Monte Carlo Investigation," Economics Working Paper Series 0807, Oklahoma State University, Department of Economics and Legal Studies in Business.
    2. Doviak, Eric & MacDonald, Sean, 2011. "Who enters the foreclosure process?," MPRA Paper 34276, University Library of Munich, Germany.
    3. Lee C. Adkins, 2009. "An Instrumental Variables Probit Estimator Using Gretl," EHUCHAPS, in: Ignacio Díaz-Emparanza & Petr Mariel & María Victoria Esteban (ed.), Econometrics with gretl. Proceedings of the gretl Conference 2009, edition 1, chapter 4, pages 59-74, Universidad del País Vasco - Facultad de Ciencias Económicas y Empresariales.
    4. Gerardi Kristopher & Willen Paul, 2009. "Subprime Mortgages, Foreclosures, and Urban Neighborhoods," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(3), pages 1-37, March.
    5. Elizabeth Laderman, 2001. "Subprime mortgage lending and the capital markets," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue dec28.
    6. Mark Doms & Frederick T. Furlong & John Krainer, 2007. "Subprime mortgage delinquency rates," Working Paper Series 2007-33, Federal Reserve Bank of San Francisco.
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    Cited by:

    1. Chan, Sewin & Gedal, Michael & Been, Vicki & Haughwout, Andrew, 2013. "The role of neighborhood characteristics in mortgage default risk: Evidence from New York City," Journal of Housing Economics, Elsevier, vol. 22(2), pages 100-118.
    2. Yusuf VARLI & Gökhan ÖVENÇ, 2019. "Dynamic Analysis of Defaults and Prepayments in the Turkish Mortgage Market," Sosyoekonomi Journal, Sosyoekonomi Society, issue 27(39).
    3. Kevin Bazer & Sílvio Rendon, 2021. "Individual and Local Effects of Unemployment on Mortgage Defaults," Working Papers 21-39, Federal Reserve Bank of Philadelphia.
    4. Doviak, Eric & MacDonald, Sean, 2011. "Who enters the foreclosure process?," MPRA Paper 34276, University Library of Munich, Germany.

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    More about this item

    Keywords

    mortgage; default; foreclosure; discrimination;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance

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