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More Money, Less Credit? Legislator Gender and the Effectiveness of Congressional Credit Claiming

Published online by Cambridge University Press:  22 November 2023

Peter T. McLaughlin*
Affiliation:
Carl Albert Congressional Research and Studies Center, University of Oklahoma, Norman, OK, USA
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Abstract

Bringing home federal spending projects to the district is a common reelection strategy for members of the U.S. Congress, and congresswomen tend to outperform congressmen in securing district spending. However, for legislators to turn distributive benefits into higher approval and electoral rewards, constituents must recognize that public spending has taken place in their community and attribute credit to the correct public official. I theorize that congresswomen face a gender bias when claiming credit for federal projects, and I test this theory through an online survey experiment. Contrary to expectations, I find no evidence that legislator gender influences the public’s reaction to congressional credit claims, indicating that congresswomen can effectively use distributive politics to counter gendered vulnerability in the U.S. Congress. This research advances the literature on gender and politics by investigating whether a gender bias in credit claiming prevents congresswomen from turning their representational efforts into electoral capital.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the Women, Gender, and Politics Research Section of the American Political Science Association
Figure 0

Figure 1. Mean MC support across treatment group.

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Figure 2. Mean MC effectiveness across treatment group.

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Figure 3. Mean MC fiscal responsibility across treatment group.

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Table 1. Regression with MC gender and message treatment interaction

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Figure 4. Mean MC support across treatment group and party affiliation.

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