IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/34275.html
   My bibliography  Save this paper

Who defaults on their home mortgage?

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/34275/1/MPRA_paper_34275.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Doviak, Eric & MacDonald, Sean, 2011. "Who enters the foreclosure process?," MPRA Paper 34276, University Library of Munich, Germany.
    2. 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.
    3. 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.
    4. Mark Doms & Frederick T. Furlong & John Krainer, 2007. "Subprime mortgage delinquency rates," Working Paper Series 2007-33, Federal Reserve Bank of San Francisco.
    5. 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.
    6. Elizabeth Laderman, 2001. "Subprime mortgage lending and the capital markets," FRBSF Economic Letter, Federal Reserve Bank of San Francisco, issue dec28.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Simlai, Prodosh, 2019. "Subprime credit, idiosyncratic risk, and foreclosures," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 175-189.
    2. Blackburn, McKinley L. & Vermilyea, Todd, 2012. "The prevalence and impact of misstated incomes on mortgage loan applications," Journal of Housing Economics, Elsevier, vol. 21(2), pages 151-168.
    3. Elizabeth Laderman & Carolina Reid, 2009. "The untold costs of subprime lending: examining the links among higher-priced lending, foreclosures and race in California," Community Development Working Paper 2009-09, Federal Reserve Bank of San Francisco.
    4. Francis A. Longstaff, 2004. "Optimal Recursive Refinancing and the Valuation of Mortgage-Backed Securities," NBER Working Papers 10422, National Bureau of Economic Research, Inc.
    5. John Y. Campbell, 2013. "Mortgage Market Design," Review of Finance, European Finance Association, vol. 17(1), pages 1-33.
    6. Patrick Bayer & Fernando Ferreira & Stephen L. Ross, 2018. "What Drives Racial and Ethnic Differences in High-Cost Mortgages? The Role of High-Risk Lenders," The Review of Financial Studies, Society for Financial Studies, vol. 31(1), pages 175-205.
    7. T.V.S. Ramamohan Rao, 2010. "Financial crisis, efficient bailouts, and regulatory policy," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 3(2), pages 167-188.
    8. Dror Parnes, 2023. "Typical States and Their Risks for Mortgage Loans," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(2), pages 395-415, June.
    9. Christopher Foote & Kristopher Gerardi & Lorenz Goette & Paul Willen, 2010. "Reducing Foreclosures: No Easy Answers," NBER Chapters, in: NBER Macroeconomics Annual 2009, Volume 24, pages 89-138, National Bureau of Economic Research, Inc.
    10. Nika Lazaryan & Urvi Neelakantan, 2016. "Monetary Incentives and Mortgage Renegotiation Outcomes," Economic Quarterly, Federal Reserve Bank of Richmond, issue 2Q, pages 147-168.
    11. Rodney Ramcharan & Christopher Crowe, 2013. "The Impact of House Prices on Consumer Credit: Evidence from an Internet Bank," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(6), pages 1085-1115, September.
    12. Eglė Jakučionytė & Swapnil Singh, 2023. "Emergence of subprime lending in minority neighborhoods," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 51(6), pages 1547-1583, November.
    13. Ádám Banai & Edina Berlinger & Barbara Dömötör, 2022. "Adjustable-rate mortgages in the era of global reflation: How to model additional default risk?," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-16, March.
    14. Adelino, Manuel & Gerardi, Kristopher & Willen, Paul S., 2013. "Why don't Lenders renegotiate more home mortgages? Redefaults, self-cures and securitization," Journal of Monetary Economics, Elsevier, vol. 60(7), pages 835-853.
    15. Agnello, Luca & Schuknecht, Ludger, 2011. "Booms and busts in housing markets: Determinants and implications," Journal of Housing Economics, Elsevier, vol. 20(3), pages 171-190, September.
    16. Patrick Bayer & Fernando Ferreira & Stephen L. Ross, 2014. "Race, Ethnicity and High-Cost Mortgage Lending," NBER Working Papers 20762, National Bureau of Economic Research, Inc.
    17. Khandani, Amir E. & Lo, Andrew W. & Merton, Robert C., 2013. "Systemic risk and the refinancing ratchet effect," Journal of Financial Economics, Elsevier, vol. 108(1), pages 29-45.
    18. Emily S. Taylor Poppe, 2016. "Homeowner Representation in the Foreclosure Crisis," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 13(4), pages 809-836, December.
    19. Li, Phillip & Mayock, Tom, 2019. "Mortgage characteristics and the racial incidence of default," Journal of Housing Economics, Elsevier, vol. 46(C).
    20. Michael Brocker & Christopher Hanes, 2014. "The 1920s American Real Estate Boom and the Downturn of the Great Depression: Evidence from City Cross-Sections," NBER Chapters, in: Housing and Mortgage Markets in Historical Perspective, pages 161-201, National Bureau of Economic Research, Inc.

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:34275. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.