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Estimating the gender penalty in House of Representative elections using a regression discontinuity design

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  • Anastasopoulos, Lefteris

Abstract

While the number of female candidates running for office in U.S. House of Representative elections has increased considerably since the 1980s, women continue to account for about only 20% of House members. Whether this gap in female representation can be explained by a gender penalty female candidates face as the result of discrimination on the part of voters or campaign donors remains uncertain. In this paper, I estimate the gender penalty in U.S. House of Representative general elections using a regression discontinuity design (RDD). Using this RDD, I am able to assess whether chance nomination of female candidates to run in the general election affected the amount of campaign funds raised, general election vote share and probability of victory in House elections between 1982-2012. I find no evidence of a gender penalty using these measures. These results suggest that the deficit of female representation in the House is more likely the result of barriers to entering politics as opposed to overt gender discrimination by voters and campaign donors.

Suggested Citation

  • Anastasopoulos, Lefteris, 2016. "Estimating the gender penalty in House of Representative elections using a regression discontinuity design," MPRA Paper 71297, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:71297
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    References listed on IDEAS

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    Cited by:

    1. Song, B.K., 2020. "The effect of public financing on candidate reemergence and success in elections," European Journal of Political Economy, Elsevier, vol. 65(C).
    2. Lee, S-M., 2020. "Passing on the Baton: Positive Spillovers from the Olympics to Female Representation in US Politics," Cambridge Working Papers in Economics 2082, Faculty of Economics, University of Cambridge.
    3. Ryan Brown & Hani Mansour & Stephen O'Connell & James Reeves, 2019. "Gender Differences in Political Career Progression: Evidence from U.S. Elections," CESifo Working Paper Series 7821, CESifo.
    4. Jon H. Fiva & Max-Emil M. King, 2022. "Child Penalties in Politics," CESifo Working Paper Series 9611, CESifo.

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    More about this item

    Keywords

    regression discontinuity design; gender gap; gender discrimination; elections; American politics; campaign funds; vote share; campaign donations; female candidates; House of Representatives;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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