Cited by 451Labor market dynamics and wage inequalityNames, Identity, and Discrimination ResearchHistorical Economic and Social Studies

Wage Comparisons--A Selectivity Bias

Gronau, Reuben·1974·Journal of Political Economy

Integrity signals

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Crossref · 10.1086/260267

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Restricting a sample to employed women biases estimates of motherhood's effect on wages.

    “estimates for the effect of motherhood on wages will be biased if the sample is restricted to employed women”
  • Outright selection on the outcome, and conditioning on a variable affected by the outcome, can lead to bias.

    “It is well known that outright selection on the outcome, as well as conditioning on a variable affected by the outcome, can lead to bias”

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Authors
Gronau, R.
Affiliations
National Bureau of Economic Research (US)
Corresponding author
Gronau, Reuben
Venue
Journal of Political Economy
Published
1974-11
Volume
82
Issue
6
Pages
1119-1143
ISSN
  • 0022-3808 (ISSN-L)
  • 1537-534X
OpenAlex
W1608417949
Cited by
451
References
0
Citations by year
2026: 8 · 2025: 8 · 2024: 15 · 2023: 36 · 2022: 10 · 2021: 17 · 2020: 11 · 2019: 13 · 2018: 20 · 2017: 22 · 2016: 13 · 2015: 14 · 2014: 12 · 2013: 11 · 2012: 10
FWCI
11.11
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 › Economics, Econometrics and Finance › Economics and Econometrics › Historical Economic and Social Studies
Keywords
wage comparison, selection bias, wage differentials, wage determinants

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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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