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Estimating the gender penalty in House of Representative elections using a regression discontinuity design
Institution:1. Department of Economics and SIPA, Columbia University, United States;2. NBER, United States;3. Division of Social Sciences, Yale-NUS College, 10 College Avenue West 01-101, Singapore 138609, Singapore;1. Department of Political Science, Washington University in St Louis, One Brookings Drive, 63105, Saint Louis, MO, United States;2. Department of Political Science, Instituto Tecnológico Autónomo de México (ITAM), Río Hondo 1, Col. Progreso Tizapán, 01080, Mexico City, Mexico;1. School of Politics and International Relations at Australian National University, Republic of Korea;2. Department of Political Science and International Relations at Seoul National University, Republic of Korea;3. Department of Policy Studies at Hanyang University, Republic of Korea;1. University of North Texas, United States;2. Massachusetts College of Liberal Arts, United States;3. University of Kentucky, United States
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 and 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.
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