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An analysis of default risk in the Home Equity Conversion Mortgage (HECM) program

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  • Moulton, Stephanie
  • Haurin, Donald R.
  • Shi, Wei

Abstract

While reverse mortgages are intended as a tool to enable financial security for older homeowners, in 2014, nearly 12 percent of reverse mortgage borrowers in the federally insured Home Equity Conversion Mortgage (HECM) program were in default on their property taxes or homeowners insurance. Unlike the traditional mortgage market, there were no risk-based underwriting guidelines for HECMs through 2014. In response to the relatively high default rate, a variety of policy responses were implemented, including establishing underwriting guidelines. However, there is a lack of data and analysis to inform such criteria. Our analysis follows 30,000 seniors counseled for reverse mortgages between 2006 and 2011. The data includes comprehensive financial and credit report attributes, not typically available in analyses of reverse mortgage borrowers. Using a bivariate probit model that accounts for selection, we estimate the likelihood of tax and insurance default. Financial characteristics that increase default risk include the percentage of funds withdrawn in the first month of the loan, a lower credit score, higher property tax to income ratio, low or no unused revolving credit, and a history of being past due on mortgage payments or having a tax lien on the property. Our estimate of the elasticity of default with respect to credit scores is similar to that for closed-end home equity loans, but higher than that for HELOCs. We simulate the effects of alternative underwriting criteria and policy changes on the probability of take-up and default. Reductions in the default rate with a minimal effect on participation can be achieved by requiring that participants with low credit scores set aside some of their HECM funds for future property tax and insurance payments, a form of escrowing.

Suggested Citation

  • Moulton, Stephanie & Haurin, Donald R. & Shi, Wei, 2015. "An analysis of default risk in the Home Equity Conversion Mortgage (HECM) program," Journal of Urban Economics, Elsevier, vol. 90(C), pages 17-34.
  • Handle: RePEc:eee:juecon:v:90:y:2015:i:c:p:17-34
    DOI: 10.1016/j.jue.2015.08.002
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    Cited by:

    1. Carole Bernard & Adam Kolkiewicz & Junsen Tang, 2023. "Valuation of Reverse Mortgages with Default Risk Models," The Journal of Real Estate Finance and Economics, Springer, vol. 66(4), pages 806-839, May.
    2. Miller, Joshua J. & Nikaj, Silda & Lee, Jin Man, 2019. "Reverse mortgages and senior property tax relief," Journal of Housing Economics, Elsevier, vol. 44(C), pages 26-34.
    3. Tripti Sharma & Declan French & Donal McKillop, 2022. "Risk and Equity Release Mortgages in the UK," The Journal of Real Estate Finance and Economics, Springer, vol. 64(2), pages 274-297, February.
    4. Jason R. Blevins & Wei Shi & Donald R. Haurin & Stephanie Moulton, 2020. "A Dynamic Discrete Choice Model Of Reverse Mortgage Borrower Behavior," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(4), pages 1437-1477, November.
    5. Stephanie Moulton & Donald Haurin & Samuel Dodini & Maximilian D. Schmeiser, 2016. "How Home Equity Extraction and Reverse Mortgages Affect the Credit Outcomes of Senior Households," Working Papers wp351, University of Michigan, Michigan Retirement Research Center.
    6. Kuo‐Shing Chen & J. Jimmy Yang, 2020. "Housing Price Dynamics, Mortgage Credit and Reverse Mortgage Demand: Theory and Empirical Evidence," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(2), pages 599-632, June.
    7. Begley, Jaclene & Fout, Hamilton & LaCour-Little, Michael & Mota, Nuno, 2020. "Home equity conversion mortgages: The secondary market investor experience," Journal of Housing Economics, Elsevier, vol. 47(C).
    8. Davidoff, Thomas & Gerhard, Patrick & Post, Thomas, 2017. "Reverse mortgages: What homeowners (don’t) know and how it matters," Journal of Economic Behavior & Organization, Elsevier, vol. 133(C), pages 151-171.
    9. Hung Xuan Do & Daniel Rösch & Harald Scheule, 2020. "Liquidity Constraints, Home Equity and Residential Mortgage Losses," The Journal of Real Estate Finance and Economics, Springer, vol. 61(2), pages 208-246, August.
    10. Wei Han & Ping Wang & Hongjie Dong, 2020. "Influence of Egoistic and Altruistic Bequest Motives on the Willingness to Participate in Reverse Mortgages in China," Asian Economic Journal, East Asian Economic Association, vol. 34(4), pages 430-463, December.
    11. Stephanie Moulton & Donald Haurin & Samuel Dodini & Maximilian D. Schmeiser, 2020. "How federally insured reverse mortgages affect the credit outcomes of older adults," Journal of Consumer Affairs, Wiley Blackwell, vol. 54(4), pages 1298-1327, December.
    12. James Conklin & Kristopher Gerardi & Lauren Lambie-Hanson, 2022. "Can Everyone Tap Into the Housing Piggy Bank? Racial Disparities in Access to Home Equity," FRB Atlanta Working Paper 2022-17, Federal Reserve Bank of Atlanta.
    13. Cäzilia Loibl & Alec P. Rhodes & Stephanie Moulton & Donald Haurin & Chrisse Edmunds, 2022. "Food insecurity among older adults in the U.S.: The role of mortgage borrowing," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 44(2), pages 549-574, June.

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    More about this item

    Keywords

    Reverse mortgages; Mortgage default; Senior housing; Property taxes;
    All these keywords.

    JEL classification:

    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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