Artikel
Reverse mortgage participation in the United States: Evidence from a national study
This paper uses the most recent wave of a nationally representative dataset to examine the factors associated with elderly homeowners' decision to obtain reverse mortgage loans. The findings of this study suggest that very few homeowners participated in the reverse mortgage market, and homeowners younger than 67 were less likely to have reverse mortgage loans. However, homeowners who were risk averse, and homeowners in the two highest quartiles of net worth were more likely to have reverse mortgage loans. Further analyses reveal that among the reverse mortgage participants, homeowners with long-term care insurance coverage were less likely to have reverse mortgage loans. Implications for financial economists, financial planners, policy-makers, and scholars of retirement economics are included.
- Language
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Englisch
- Bibliographic citation
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Journal: International Journal of Financial Studies ; ISSN: 2227-7072 ; Volume: 4 ; Year: 2016 ; Issue: 1 ; Pages: 1-10 ; Basel: MDPI
- Classification
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Wirtschaft
Micro-Based Behavioral Economics: Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making‡
Macroeconomics: Consumption; Saving; Wealth
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Economics of the Elderly; Economics of the Handicapped; Non-labor Market Discrimination
Urban, Rural, Regional, Real Estate, and Transportation Economics: Housing Demand
- Subject
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reverse mortgage
household wealth
financial decisions
retirement planning
- Event
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Geistige Schöpfung
- (who)
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Chatterjee, Swarn
- Event
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Veröffentlichung
- (who)
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MDPI
- (where)
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Basel
- (when)
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2016
- DOI
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doi:10.3390/ijfs4010005
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Chatterjee, Swarn
- MDPI
Time of origin
- 2016