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Cited by 566

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Wage Inequality and Varieties of Capitalism

Open access
Rueda, David, Pontusson, Jonas·2000·World Politics
DOI 10.1017/s0043887100016579
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Abstract

This article draws on a new data set that enables the authors to compare the distribution of income from employment across OECD countries. Specifically, the article conducts a pooled cross-sectional time-series analysis of the determinants of wage inequality in sixteen countries from 1973 to 1995. The analysis shows that varieties of capitalism matter. The authors find that the qualities that distinguish social market economies from liberal market economies shape the way political and institutional variables influence wage inequality. Of particular interest to political scientists is the finding that the wage-distributive effects of government partisanship are contingent on institutional context. Union density emerges in the analysis as the single most important factor influencing wage inequality in both institutional contexts.

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Registry

Crossref · 10.1017/s0043887100016579

Cites

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Metadata

Authors
Rueda, D., & Pontusson, J.
Venue
World Politics
Publisher
Project MUSE
Published
2000-04
Volume
52
Issue
3
Pages
350-383
ISSN
  • 0043-8871 (ISSN-L)
  • 1086-3338
DOI
10.1017/s0043887100016579
OpenAlex
W2061374737
Cited by
566
References
34
FWCI
121.59
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Wage Inequality and Varieties of Capitalism. https://app.cochat.ai/papers/10.1017/s0043887100016579
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Rueda, D., & Pontusson, J. (2000). Wage Inequality and Varieties of Capitalism. World Politics. https://doi.org/10.1017/s0043887100016579

Data sources

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.