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Reverse Mortgage Loans: A Quantitative Analysis

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  • MAKOTO NAKAJIMA
  • IRINA A. TELYUKOVA

Abstract

Supersedes Working Paper 13-27. Reverse mortgage loans (RMLs) allow older homeowners to borrow against housing wealth without moving. Despite growth in this market, only 2.1% of eligible homeowners had RMLs in 2011. In this paper, the authors analyze reverse mortgages in a calibrated life-cycle model of retirement. The average welfare gain from RMLs is $885 per homeowner. The authors? model implies that low-income, low-wealth, and poor-health households benefit the most, consistent with empirical evidence. Bequest motives, nursing-home-move risk, house price risk, and loan costs all contribute to the low take-up. The Great Recession may lead to increased RML demand, by up to 30% for the lowest-income and oldest households.
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Suggested Citation

  • Makoto Nakajima & Irina A. Telyukova, 2017. "Reverse Mortgage Loans: A Quantitative Analysis," Journal of Finance, American Finance Association, vol. 72(2), pages 911-950, April.
    • Handle: RePEc:bla:jfinan:v:72:y:2017:i:2:p:911-950
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    File URL: http://hdl.handle.net/10.1111/jofi.2017.72.issue-2
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    References listed on IDEAS

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    1. Alan Greenspan & James Kennedy, 2008. "Sources and uses of equity extracted from homes," Oxford Review of Economic Policy, Oxford University Press, vol. 24(1), pages 120-144, spring.
    2. Juan Contreras & Joseph B. Nichols, 2010. "Consumption responses to permanent and transitory shocks to house appreciation," Finance and Economics Discussion Series 2010-32, Board of Governors of the Federal Reserve System (U.S.), revised 2010.
    3. Sally R. Merrill & Meryl Finkel & Nandinee K. Kutty, 1994. "Potential Beneficiaries from Reverse Mortgage Products for Elderly Homeowners: An Analysis of American Housing Survey Data," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 22(2), pages 257-299, June.
    4. Donald Haurin & Chao Ma & Stephanie Moulton & Maximilian Schmeiser & Jason Seligman & Wei Shi, 2016. "Spatial Variation in Reverse Mortgages Usage: House Price Dynamics and Consumer Selection," The Journal of Real Estate Finance and Economics, Springer, vol. 53(3), pages 392-417, October.
    5. Hui Shan, 2011. "Reversing the Trend: The Recent Expansion of the Reverse Mortgage Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 39(4), pages 743-768, December.
    6. Joachim Inkmann & Paula Lopes & Alexander Michaelides, 2011. "How Deep Is the Annuity Market Participation Puzzle?," Review of Financial Studies, Society for Financial Studies, vol. 24(1), pages 279-319.
    7. Matt Chambers & Carlos Garriga & Don Schlagenhauf, 2009. "The Loan Structure and Housing Tenure Decisions in an Equilibrium Model of Mortgage Choice," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(3), pages 444-468, July.
    8. Pashchenko, Svetlana, 2013. "Accounting for non-annuitization," Journal of Public Economics, Elsevier, vol. 98(C), pages 53-67.
    9. Cassio M. Turra & Olivia S. Mitchell, 2004. "The Impact of Health Status and Out-of-Pocket Medical Expenditures on Annuity Valuation," Working Papers wp086, University of Michigan, Michigan Retirement Research Center.
    10. Makoto Nakajima, 2012. "Everything you always wanted to know about reverse mortgages but were afraid to ask," Business Review, Federal Reserve Bank of Philadelphia, issue Q1, pages 19-31.
    11. Lee Lockwood, 2012. "Bequest Motives and the Annuity Puzzle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 226-243, April.
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    More about this item

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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