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Cited by 282

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Changes in the Distribution of Male and Female Wages Accounting for Employment Composition Using�Bounds

Open access
Blundell, Richard, Gosling, Amanda, Ichimura, Hidehiko, Meghir, Costas·2007·Econometrica

Abstract

This paper examines changes in the distribution of wages using bounds to allow for the impact of nonrandom selection into work. We show that worst case bounds can be informative. However, because employment rates in the United Kingdom are often low, they are not informative about changes in educational or gender wage differentials. Thus we explore ways to tighten these bounds using restrictions motivated from economic theory. With these assumptions, we find convincing evidence of an increase in inequality within education groups, changes in educational differentials, and increases in the relative wages of women.

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Crossref · 10.1111/j.1468-0262.2006.00750.x

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Metadata

Authors
Blundell, R., Gosling, A., Ichimura, H., & Meghir, C.
Venue
Econometrica
Published
2007-03
Volume
75
Issue
2
Pages
323-363
ISSN
  • 0012-9682 (ISSN-L)
  • 1468-0262
OpenAlex
W2148273822
Cited by
282
References
3
FWCI
41.92
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Changes in the Distribution of Male and Female Wages Accounting for Employment Composition Using�Bounds. https://app.cochat.ai/papers/10.1111/j.1468-0262.2006.00750.x
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Blundell, R., Gosling, A., Ichimura, H., & Meghir, C. (2007). Changes in the Distribution of Male and Female Wages Accounting for Employment Composition Using�Bounds. Econometrica. https://doi.org/10.1111/j.1468-0262.2006.00750.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.