敌意性别歧视与 2016 年总统大选

IF 1.1 Q3 ECONOMICS

Eastern Economic Journal Pub Date : 2024-04-18 DOI:10.1057/s41302-024-00269-2

Ann L. Owen, Andrew Wei

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引用次数: 0

摘要

我们利用谷歌趋势数据来识别敌意性别歧视，发现性别歧视对克林顿在 2016 年大选中的得票率有负面预测作用，并与那些更有可能投票给民主党人的选民投票率较低有关。虽然我们没有发现证据表明，在特朗普举行了 10 次以上选前集会的州，敌意性别歧视更为普遍，但我们发现性别歧视对这些地区的选票影响更大。这表明性别歧视的边际效应在全国范围内并不一致，并将效应的不同程度与特朗普的集会联系起来。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Hostile Sexism and the 2016 Presidential Election

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Hostile Sexism and the 2016 Presidential Election

We use Google Trends data to identify hostile sexism and find that sexism negatively predicts Clinton’s vote share in the 2016 general election and is associated with lower voter turnout among those more likely to vote for a Democrat. Although we find no evidence that hostile sexism was more prevalent in states in which Trump held more than 10 pre-election rallies, we find that sexism had a larger impact on votes in these areas. This shows that the marginal effect of sexism was not uniform across the country and links the differing magnitudes of the effect to Trump rallies.

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来源期刊

Eastern Economic Journal ECONOMICS-

CiteScore

2.10

自引率

0.00%

发文量

期刊介绍： The Eastern Economic Journal, a quarterly publication of the Eastern Economic Association, was established in 1973. The EEJ publishes papers written from every perspective, in all areas of economics and is committed to free and open intellectual inquiry from diverse philosophical perspectives. It welcomes manuscripts that are methodological and philosophical as well as empirical and theoretical. Readability and general interest are major factors in publication decision.