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Uncertain Medical Expenses and Precautionary Saving Near the End of the Life Cycle
Abstract
This paper introduces a dynamic, structural model of household consumption decisions in which elderly families consider the effects of uncertain future medical expenses when deciding current levels of consumption. The model with uncertain medical expenses implies a potentially important role for precautionary saving incentives to explain slow rates of dissaving among elderly Americans during retirement. Rather than just simulating the stochastic dynamic model, preference parameters are estimated using panel data on health, wealth and expenditures for retired families. The health uncertainty model predicts consumption levels closer to observed expenditures than a life cycle model with uncertain longevity. However, elderly families typically dissave their financial assets more slowly than even the baseline health uncertainty model predicts is optimal.
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Cited by
Payday Loans, Uncertainty and Discounting: Explaining Patterns of Borrowing, Repayment, and Default
Skiba, P. M., & Tobacman, J. (2008) · doi:10.2139/ssrn.1319751 · Cited by 157
Upstream Solutions: Does the Supplemental Security Income Program Reduce Disability in the Elderly?
HERD, P., SCHOENI, R. F., & HOUSE, J. S. (2008) · The Milbank Quarterly · doi:10.1111/j.1468-0009.2007.00512.x · Cited by 68
Metadata
- Authors
- Palumbo, M. G.
- Venue
- Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-04
- Volume
- 66
- Issue
- 2
- Pages
- 395-421
- ISSN
- 0034-6527 (ISSN-L)
- 1467-937X
- OpenAlex
- W1964391199
- Cited by
- 486
- References
- 0
- FWCI
- 28.88
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Uncertain Medical Expenses and Precautionary Saving Near the End of the Life Cycle. https://app.cochat.ai/papers/10.1111/1467-937x.00092
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- Palumbo, M. G. (1999). Uncertain Medical Expenses and Precautionary Saving Near the End of the Life Cycle. Review of Economic Studies. https://doi.org/10.1111/1467-937x.00092
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.