Code for: SeaTE: Subjective ex ante Treatment Effect of Health on Retirement
Principal Investigator(s): View help for Principal Investigator(s) Pamela Giustinelli, Bocconi University; Matthew D Shapiro, University of Michigan
Version: View help for Version V1
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Project Citation:
Giustinelli, Pamela , and Shapiro, Matthew D. Code for: SeaTE: Subjective ex ante Treatment Effect of Health on Retirement. Nashville, TN: American Economic Association [publisher], 2024. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-03-01. https://doi.org/10.3886/E187523V1
Project Description
Summary:
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The paper studies the effect of health on work among older workers by eliciting 2- and 4-year-ahead subjective probabilities of working under alternative health states. These measures predict work outcomes. Person-specific differences in working probabilities across health states can be interpreted as Subjective ex ante Treatment Effects (SeaTE) in a potential outcomes framework and as taste for work within a discrete choice dynamic programming framework. There is substantial heterogeneity in expectations of work conditional on health. The paper shows how heterogeneity in taste for work correlated with health can bias regression estimates the effect of health on retirement.
Funding Sources:
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United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (P01-AG026571)
Scope of Project
Subject Terms:
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survey
JEL Classification:
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C21 Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
D84 Expectations; Speculations
J26 Retirement; Retirement Policies
C21 Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
D84 Expectations; Speculations
J26 Retirement; Retirement Policies
Geographic Coverage:
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United States
Time Period(s):
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2013 – 2018
Collection Date(s):
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2013 – 2018
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