The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Empirical Content of the Roy Model
Abstract
This paper explores the robustness of the essential economic conclusions of the Roy model of self-selection and income inequality to relaxation of its normality assumptions. A log concave version of the model reproduces most of the main results. Log convex cases offer counterexamples. The authors show that in a Roy economy, random assignment is inegalitarian and Pareto inefficient. They consider nonparametric identifiability of latent skill distributions with cross-section and panel data. The authors' analysis proves nonparametric identifiability for the closely related competing risks model. Copyright 1990 by The Econometric Society.
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Citations
Cites
Shadow Prices, Market Wages, and Labor Supply
Heckman, J. (1974) · Econometrica · doi:10.2307/1913937 · Cited by 1,852
Self-citation
Cited by
Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme
Heckman, J. J., Ichimura, H., & Todd, P. E. (1997) · The Review of Economic Studies · doi:10.2307/2971733 · Cited by 5,486
Self-citationModels for Sample Selection Bias
Winship, C., & Mare, R. D. (1992) · Annual Review of Sociology · doi:10.1146/annurev.so.18.080192.001551 · Cited by 812
Who Leaves? The Outmigration of the Foreign-Born
Borjas, G. J., & Bratsberg, B. (1996) · The Review of Economics and Statistics · doi:10.2307/2109856 · Cited by 797
Personality Psychology and Economics
Almlund, M., Duckworth, A. L., Heckman, J., & Kautz, T. (2011) · National Bureau of Economic Research · doi:10.3386/w16822 · Cited by 540
Self-citationSelection and Comparative Advantage in Technology Adoption
(2011) · Econometrica · doi:10.3982/ecta7749 · Cited by 543
Metadata
- Authors
- Heckman, J. J., & Honore, B. E.
- Venue
- Econometrica
- Publisher
- JSTOR
- Published
- 1990-09
- Volume
- 58
- Issue
- 5
- Pages
- 1121
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W2059154395
- Cited by
- 764
- References
- 1
- FWCI
- 18.94
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
