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Residential mortgage default: Theory works and so does policy

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  • Goodman, Allen C.
  • Smith, Brent C.

Abstract

Using a national loan level data set we examine loan default as explained by local demographic characteristics and state level legislation that regulates foreclosure procedures and predatory lending, using a hierarchical linear model. When controlling for loan and local conditions, we observe significant variation in the default rate across states, with lower default levels in states with higher temporal and financial costs to lenders. State level legislative influences provide a foundation for discussion of national level policy that further regulates predatory lending and financial institution foreclosure activities.

Suggested Citation

  • Goodman, Allen C. & Smith, Brent C., 2010. "Residential mortgage default: Theory works and so does policy," Journal of Housing Economics, Elsevier, vol. 19(4), pages 280-294, December.
  • Handle: RePEc:eee:jhouse:v:19:y:2010:i:4:p:280-294
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    Cited by:

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    3. Bruce Gordon & Daniel Winkler, 2015. "Statutory Right of Redemption and the Selling Price of Foreclosed Houses," The Journal of Real Estate Finance and Economics, Springer, vol. 51(3), pages 365-397, October.
    4. Anping Chen & Marlon Boarnet & Mark Partridge & Haifang Huang & Brad R. Humphreys, 2014. "New Sports Facilities And Residential Housing Markets," Journal of Regional Science, Wiley Blackwell, vol. 54(4), pages 629-663, September.
    5. Huang, Haifang & Humphreys, Brad, 2012. "Do New Sports Facilities Revitalize Urban Neighborhoods? Evidence from Residential Mortgage Applications," Working Papers 2012-5, University of Alberta, Department of Economics.
    6. 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.
    7. Rui Pascoal, 2012. "Macroeconomic Factors of Household Default. Is There Myopic Behaviour?," GEMF Working Papers 2012-20, GEMF, Faculty of Economics, University of Coimbra.
    8. Thomas P. Boehm & Alan M. Schlottmann, 2017. "Mortgage Payment Problem Development and Recovery: A Joint Probability Model Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 55(4), pages 476-510, November.
    9. Bhattacharya, Arnab & Wilson, Simon P. & Soyer, Refik, 2019. "A Bayesian approach to modeling mortgage default and prepayment," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1112-1124.
    10. Rogers, William H. & Winkler, Anne E., 2013. "The Relationship between the Housing & Labor Market Crises and Doubling-Up: An MSA-Level Analysis, 2005-2010," IZA Discussion Papers 7263, Institute of Labor Economics (IZA).
    11. Huang, Haifang & Humphreys, Brad & Zhou, Li, 2014. "Urban Casinos and Local Housing Markets: Evidence from the US," Working Papers 2014-4, University of Alberta, Department of Economics.

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