Cited by 610Labor market dynamics and wage inequalityNames, Identity, and Discrimination ResearchGender, Labor, and Family Dynamics

Heterogeneity, Aggregation, and Market Wage Functions: An Empirical Model of Self-Selection in the Labor Market

Heckman, James J., Sedlacek, Guilherme·1985·Journal of Political Economy

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Crossref · 10.1086/261352

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1 of 1 references verified0 citation errors · 0 not checkable

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  • The identification problem deepens when costs are allowed to be psychic costs and one attempts to separate productivity traits from preference traits.

    “The identification problem deepens when we allow the costs to be psychic costs as in Heckman and Sedlacek [1985], Cunha, Heckman and Navarro [2005], or Heckman, Stixrud and Urzua [2006], and attempt to separate out productivity traits from preference traits.”

    From Personality Psychology and Economics (2011) · cites this paper as Heckman and Sedlacek [1985]

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Authors
Heckman, J. J., & Sedlacek, G.
Venue
Journal of Political Economy
Published
1985-12
Volume
93
Issue
6
Pages
1077-1125
ISSN
  • 0022-3808 (ISSN-L)
  • 1537-534X
OpenAlex
W2084538591
Cited by
610
References
1
Citations by year
2026: 6 · 2025: 16 · 2024: 11 · 2023: 10 · 2022: 15 · 2021: 8 · 2020: 15 · 2019: 28 · 2018: 20 · 2017: 23 · 2016: 21 · 2015: 30 · 2014: 23 · 2013: 30 · 2012: 28
FWCI
20.73
Type
journal article
Language
en
Open access
closed
Locations
Journal of Political Economy (publishedVersion)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Labor market dynamics and wage inequality
  • Social Sciences › Sociology and Political Science › Names, Identity, and Discrimination Research
  • Social Sciences › Gender Studies › Gender, Labor, and Family Dynamics
Keywords
worker heterogeneity, wage functions, labor supply, wage determination

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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