Mortgage Payment Problem Development and Recovery: A Joint Probability Model Approach
- 224 Downloads
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.
KeywordsMortgage payment problems Recovery Default Foreclosure
We would like to thank the participants in our session of the American Real Estate and Urban Economics Association National Meetings in 2014 in Washington DC where an initial draft of this work was presented. We would also like to thank Andy Puckett, and Ray DeGennaro for their insightful comments on an earlier version of the paper. In addition, thanks to an anonymous reviewer whose insightful comments substantially improved the final version of the paper. Finally, we would like to thank the Finance Department at the University of Tennessee for providing the funding to obtain the proprietary version of the Panel Study of Income Dynamics from the Survey Research Center at the University of Michigan.
- Bajari, Patrick L., Chenghuan S. Chu, Nekipelov, D., Park, M., (2013). A dynamic model of subprime mortgage default: estimation and policy implications. NBER Working Paper w18850.Google Scholar
- Collins, J. M., and Reid, C. K. (2010). Who receives a mortgage modification? race and income differentials in loan workouts. Federal reserve bank of san francisco working paper 2010–07Google Scholar
- Domenich, T., & McFadden, D. L. (1975). Urban travel demand: a behavioral analysis. New York: North-Holland/American Elsevier Publishing Company.Google Scholar
- Ferreira, Fernando and Gyourko, Joseph (2015). A new look at the u.s. foreclosure crisis: panel data evidence of prime and subprime borrowers from 1997 to 2012. National Bureau of Economic Research, Working Paper 21261.Google Scholar
- Gathergood, J. (2009). Income shocks, mortgage repayment risk and financial distress among UK households. In Discussion papers 09/03, University of Nottingham, Centre for Finance. Credit and: Macroeconomics.Google Scholar
- Gerardi, K., Herkenhoff, K.F., Ohanian, L.E., Willen, P.S., (2015). Unemployment, negative equity, and strategic default. NBER Research Paper, No. w21630.Google Scholar
- Goldstein, R.M., Hanouna, P., Ramirez, C.D., and Stahel, C.W., (2011). Are foreclosures contagious? FDIC center for financial research. Working Paper No. 2011–14, February.Google Scholar
- Train, K. (2009). Workshop. Discrete Choice Methods with Simulation: Cambridge University Press.Google Scholar