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Cited by 320

The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

Rethinking the Comparative Perspective on Class and Representation: Evidence from Latin America

Open access
Carnes, Nicholas, Lupu, Noam·2015·American Journal of Political Science

Abstract

Does it matter that working‐class citizens are numerically underrepresented in political offices throughout the world? For decades, the conventional wisdom in comparative politics has been that it does not, that lawmakers from different classes think and behave roughly the same in office. In this article, we argue that this conclusion is misguided. Past research relied on inappropriate measures of officeholders’ class backgrounds, attitudes, and choices. Using data on 18 Latin American legislatures, we show that lawmakers from different classes bring different economic attitudes to the legislative process. Using data on one least likely case, we also show that pre‐voting decisions like sponsoring legislation often differ dramatically along social class lines, even when political parties control higher‐visibility decisions like roll‐call votes. The unequal numerical or descriptive representation of social classes in the world's legislatures has important consequences for the substantive representation of different class interests.

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Metadata

Authors
Carnes, N., & Lupu, N.
Venue
American Journal of Political Science
Publisher
Wiley
Published
2014-03-28
Volume
59
Issue
1
Pages
1-18
ISSN
  • 0092-5853 (ISSN-L)
  • 1540-5907
OpenAlex
W2113955595
Cited by
320
References
82
FWCI
93.52
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Rethinking the Comparative Perspective on Class and Representation: Evidence from Latin America. https://app.cochat.ai/papers/10.1111/ajps.12112
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Carnes, N., & Lupu, N. (2015). Rethinking the Comparative Perspective on Class and Representation: Evidence from Latin America. American Journal of Political Science. https://doi.org/10.1111/ajps.12112

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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.