IDEAS home Printed from https://ideas.repec.org/a/kap/jrefec/v55y2017i4d10.1007_s11146-016-9585-9.html
   My bibliography  Save this article

Mortgage Payment Problem Development and Recovery: A Joint Probability Model Approach

Author

Listed:
  • Thomas P. Boehm

    (University of Tennessee)

  • Alan M. Schlottmann

    (University of Nevada – Las Vegas)

Abstract

The existing literature on mortgage default and foreclosure largely examines the development of mortgage problems (the first stage) and the possibility of recovery from such problems (the second stage) separately. Such studies may provide an incomplete picture of the development and possible resolution of mortgage problems. This paper uses the proprietary geo-coded version of the Panel Study of Income Dynamics from 2009 through 2013 to implement a different type of probability model. Three transitional probability equations are estimated: the likelihood of homeowners developing mortgage payment problems, the likelihood that those who develop such problems move to resolve their problems, and the conditional probability that those who develop such problems and don’t move will recover from them by other means. The coefficients from all three are combined to calculate the joint (state) probability of households having mortgage problems from which they will not recover. The analysis contains a number of unique results: changes in the mortgage front-end ratio are shown to have a substantial influence on both developing a mortgage problem and its resolution for those who do not move, 2) prior foreclosures are determined to affect the development of current mortgage problems, and 3) out-of-pocket medical expenses are found to influence both mortgage problem development and recovery. Also, the impact of policy actions are considered across several at-risk demographic groups. This experiment demonstrates that by improving the financial and mortgage characteristics, and the education level of households that actually develop mortgage problems, their predicted probability of developing mortgage problems that cannot be resolved could be reduced substantially.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:jrefec:v:55:y:2017:i:4:d:10.1007_s11146-016-9585-9
    DOI: 10.1007/s11146-016-9585-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11146-016-9585-9
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11146-016-9585-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Kristopher Gerardi & Kyle F. Herkenhoff & Lee E. Ohanian & Paul S. Willen, 2018. "Can’t Pay or Won’t Pay? Unemployment, Negative Equity, and Strategic Default," The Review of Financial Studies, Society for Financial Studies, vol. 31(3), pages 1098-1131.
    6. Ronel Elul & Nicholas S. Souleles & Souphala Chomsisengphet & Dennis Glennon & Robert Hunt, 2010. "What "Triggers" Mortgage Default?," American Economic Review, American Economic Association, vol. 100(2), pages 490-494, May.
    7. Boheim, Rene & Taylor, Mark P., 2000. "My Home Was My Castle: Evictions and Repossessions in Britain," Journal of Housing Economics, Elsevier, vol. 9(4), pages 287-319, December.
    8. John Gathergood, 2009. "Income Shocks, Mortgage Repayment Risk and Financial Distress Among UK Households," Discussion Papers 09/03, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, September.
    10. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    11. Patrick Bajari & Chenghuan Sean Chu & Denis Nekipelov & Minjung Park, 2013. "A Dynamic Model of Subprime Mortgage Default: Estimation and Policy Implications," NBER Working Papers 18850, National Bureau of Economic Research, Inc.
    12. Richard A. Phillips & James H. VanderHoff, 2004. "The Conditional Probability of Foreclosure: An Empirical Analysis of Conventional Mortgage Loan Defaults," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 32(4), pages 571-587, December.
    13. J. Michael Collins & Carolina Reid, 2010. "Who receives a mortgage modification? Race and income differentials in loan workouts," Community Development Working Paper 2010-07, Federal Reserve Bank of San Francisco.
    14. 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.
    15. Ioan Voicu & Marilyn Jacob & Kristopher Rengert & Irene Fang, 2012. "Subprime Loan Default Resolutions: Do They Vary Across Mortgage Products and Borrower Demographic Groups?," The Journal of Real Estate Finance and Economics, Springer, vol. 45(4), pages 939-964, November.
    16. Michael G. Bradley & Amy Crews Cutts & Wei Liu, 2015. "Strategic Mortgage Default: The Effect of Neighborhood Factors," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 271-299, June.
    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. Thomas P. Boehm & Alan M. Schlottmann, 2020. "Achieving Effective Mortgage Modifications: The Importance of Household Characteristics," The Journal of Real Estate Finance and Economics, Springer, vol. 61(2), pages 151-182, August.
    2. Merike Kukk, 2023. "What are the triggers for arrears on debt over a business cycle? Evidence from panel data," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2811-2833, July.

    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. Thomas P. Boehm & Alan M. Schlottmann, 2020. "Achieving Effective Mortgage Modifications: The Importance of Household Characteristics," The Journal of Real Estate Finance and Economics, Springer, vol. 61(2), pages 151-182, August.
    2. Maximilian Schmeiser & Matthew Gross, 2016. "The Determinants of Subprime Mortgage Performance Following a Loan Modification," The Journal of Real Estate Finance and Economics, Springer, vol. 52(1), pages 1-27, January.
    3. Mocetti, Sauro & Viviano, Eliana, 2017. "Looking behind mortgage delinquencies," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 53-63.
    4. Yosi Borochov & Boris A. Portnov, 2021. "Estimating Environmentally Adjusted Risks of Mortgage Arrears for Different Socioeconomic Groups of Borrowers," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 595-620.
    5. Lazarov, Vladimir & Hinterschweiger, Marc, 2018. "Determinants of distress in the UK owner-occupier and buy-to-let mortgage markets," Bank of England working papers 760, Bank of England.
    6. Hanming Fang & You Suk Kim & Wenli Li, 2015. "The Dynamics of Adjustable-Rate Subprime Mortgage Default: A Structural Estimation," Finance and Economics Discussion Series 2015-114, Board of Governors of the Federal Reserve System (U.S.).
    7. Kelly, Robert & McCann, Fergal, 2016. "Some defaults are deeper than others: Understanding long-term mortgage arrears," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 15-27.
    8. Christopher L. Foote & Paul S. Willen, 2018. "Mortgage-Default Research and the Recent Foreclosure Crisis," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 59-100, November.
    9. You Suk Kim & Wenli Li & Hanming Fang, 2016. "The Dynamics of Subprime Adjustable-Rate Mortgage Default: A Structural Estimation," 2016 Meeting Papers 400, Society for Economic Dynamics.
    10. Chrysovalantis Gaganis & Panagiota Papadimitri & Fotios Pasiouras & Menelaos Tasiou, 2023. "Social traits and credit card default: a two-stage prediction framework," Annals of Operations Research, Springer, vol. 325(2), pages 1231-1253, June.
    11. McCann, Fergal, 2014. "Modelling default transitions in the UK mortgage market," Research Technical Papers 18/RT/14, Central Bank of Ireland.
    12. Thomas Schelkle, 2018. "Mortgage Default during the U.S. Mortgage Crisis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1101-1137, September.
    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.
    14. Egle Jakucionyte & Swapnil Singh, 2019. "Mortgage Foreclosure Risk After the Great Recession," Bank of Lithuania Working Paper Series 69, Bank of Lithuania.
    15. Kyle Herkenhoff & Lee Ohanian, 2019. "The Impact of Foreclosure Delay on U.S. Employment," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 31, pages 63-83, January.
    16. Sauer, Johannes & Zilberman, David, 2009. "Innovation Behaviour At Farm Level – Selection And Identification," 83rd Annual Conference, March 30 - April 1, 2009, Dublin, Ireland 51073, Agricultural Economics Society.
    17. Giulio Zanella, 2004. "Discrete Choice with Social Interactions and Endogenous Memberships," Department of Economics University of Siena 442, Department of Economics, University of Siena.
    18. Maness, Michael & Cirillo, Cinzia, 2016. "An indirect latent informational conformity social influence choice model: Formulation and case study," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 75-101.
    19. 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.
    20. Goodstein, Ryan & Hanouna, Paul & Ramirez, Carlos D. & Stahel, Christof W., 2017. "Contagion effects in strategic mortgage defaults," Journal of Financial Intermediation, Elsevier, vol. 30(C), pages 50-60.

    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:kap:jrefec:v:55:y:2017:i:4:d:10.1007_s11146-016-9585-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.