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Renegotiating Distressed Mortgage Loans: A Structural Estimation

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Listed:
  • You Suk Kim

    (University of Pennsylvania)

  • Wenli Li

    (Federal Reserve Bank of Philadelphia)

  • Hanming Fang

    (University of Pennsylvania)

Abstract

This paper builds and estimtates a dynamic equilibrium model to study renegotiation between borrowers and lenders over distressed fixed-rate mortage loans using a unqie mortgage loan level data. The model captures borrowers' as well as lenders' behavior prior to borrowers' mortgages becoming distressed and after mortgage renegotiation. It allows for private information regarding borrowers' payment ability and features various realistic transaction costs associated with mortgage modification and foreclosure. Our estimation of the model reveals that ...

Suggested Citation

  • You Suk Kim & Wenli Li & Hanming Fang, 2013. "Renegotiating Distressed Mortgage Loans: A Structural Estimation," 2013 Meeting Papers 936, Society for Economic Dynamics.
  • Handle: RePEc:red:sed013:936
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    References listed on IDEAS

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    1. V. Joseph Hotz & Robert A. Miller & Seth Sanders & Jeffrey Smith, 1994. "A Simulation Estimator for Dynamic Models of Discrete Choice," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(2), pages 265-289.
    2. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    3. V. Joseph Hotz & Robert A. Miller, 1993. "Conditional Choice Probabilities and the Estimation of Dynamic Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 497-529.
    4. Ariel Pakes & Michael Ostrovsky & Steven Berry, 2007. "Simple estimators for the parameters of discrete dynamic games (with entry/exit examples)," RAND Journal of Economics, RAND Corporation, vol. 38(2), pages 373-399, June.
    5. Peter Arcidiacono & Robert A. Miller, 2011. "Conditional Choice Probability Estimation of Dynamic Discrete Choice Models With Unobserved Heterogeneity," Econometrica, Econometric Society, vol. 79(6), pages 1823-1867, November.
    6. Victor Aguirregabiria & Pedro Mira, 2007. "Sequential Estimation of Dynamic Discrete Games," Econometrica, Econometric Society, vol. 75(1), pages 1-53, January.
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