Replication data for: Medicaid Insurance in Old Age
Principal Investigator(s): View help for Principal Investigator(s) Mariacristina De Nardi; Eric French; John Bailey Jones
Version: View help for Version V1
| Name | File Type | Size | Last Modified |
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| Computer_code_and_data_AER | 10/12/2019 01:59:AM | ||
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text/plain | 14.6 KB | 10/11/2019 10:00:PM |
Project Citation:
De Nardi, Mariacristina, French, Eric, and Jones, John Bailey. Replication data for: Medicaid Insurance in Old Age. Nashville, TN: American Economic Association [publisher], 2016. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E112971V1
Project Description
Summary:
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The old age provisions of the Medicaid program were designed to insure retirees against medical expenses. We estimate a structural model of savings and medical spending and use it to compute the distribution of lifetime Medicaid transfers and Medicaid valuations across currently single retirees. Compensating variation calculations indicate that current retirees value Medicaid insurance at more than its actuarial cost, but that most would value an expansion of the current Medicaid program at less than its cost. These findings suggest that for current single retirees, the Medicaid program may be of the approximately right size.
Scope of Project
JEL Classification:
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H51 National Government Expenditures and Health
I13 Health Insurance, Public and Private
I18 Health: Government Policy; Regulation; Public Health
I38 Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
J14 Economics of the Elderly; Economics of the Handicapped; Non-labor Market Discrimination
H51 National Government Expenditures and Health
I13 Health Insurance, Public and Private
I18 Health: Government Policy; Regulation; Public Health
I38 Welfare, Well-Being, and Poverty: Government Programs; Provision and Effects of Welfare Programs
J14 Economics of the Elderly; Economics of the Handicapped; Non-labor Market Discrimination
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