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Intertemporal Preferences and Labor Supply
Open accessAbstract
In this paper, the authors examine whether nonseparable preference structures ar e important in characterizing life-cycle labor supply. Using longitud inal data on prime-age males from the Panel Study of Income Dynamics, they estimate a model of life-cycle leisure and consumption under un certainty in which intertemporal preferences are allowed to be nonsep arable in leisure. The model tests several alternative specifications considered in the literature. They investigate the robustness of the ir findings to certain forms of population heterogeneity and types of model misspecification. Across alternative specifications, the autho rs find that the standard assumption of intertemporally separable pre ferences for leisure is not consistent with the data. Copyright 1988 by The Econometric Society.
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Citations
Cited by
Anomalies in Intertemporal Choice: Evidence and an Interpretation
Loewenstein, G., & Prelec, D. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118482 · Cited by 2,305
Chapter 2 Female labor supply: A survey
Killingsworth, M. R., & Heckman, J. J. (1986) · Handbook of Labor Economics · doi:10.1016/s1573-4463(86)01005-2 · Cited by 481
The anticipatory effects of Medicare Part D on drug utilization
Alpert, A. (2016) · Journal of Health Economics · doi:10.1016/j.jhealeco.2016.06.004 · Cited by 69
Metadata
- Authors
- Hotz, V. J., Kydland, F. E., & Sedlacek, G. L.
- Venue
- Econometrica
- Publisher
- JSTOR
- Published
- 1988-03
- Volume
- 56
- Issue
- 2
- Pages
- 335
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W2094170057
- Cited by
- 174
- References
- 0
- FWCI
- 12.38
- Type
- journal article
- Language
- en
- Open access
- green
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- Hotz, V. J., Kydland, F. E., & Sedlacek, G. L. (1988). Intertemporal Preferences and Labor Supply. Econometrica. https://doi.org/10.2307/1911075
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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.