Explaining Nationalist Political Views: The Case of Donald Trump

J. Rothwell, Pablo Diego-Rosell
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引用次数: 138

Abstract

The 2016 US presidential nominee Donald Trump has broken with the policies of previous Republican Party presidents on trade, immigration, and war, in favor of a more nationalist and populist platform. Using detailed Gallup survey data for 125,000 American adults, we analyze the individual and geographic factors that predict a higher probability of viewing Trump favorably. The results show mixed evidence that economic distress has motivated Trump support. His supporters are less educated and more likely to work in blue collar occupations, but they earn relatively high household incomes and are no less likely to be unemployed or exposed to competition through trade or immigration. On the other hand, living in racially isolated communities with worse health outcomes, lower social mobility, less social capital, greater reliance on social security income and less reliance on capital income, predicts higher levels of Trump support. We confirm the theoretical results of our regression analysis using machine learning algorithms and an extensive set of additional variables.
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解释民族主义政治观点:以唐纳德·特朗普为例
2016年美国总统候选人唐纳德·特朗普在贸易、移民和战争问题上与前共和党总统的政策背道而驰,支持更加民族主义和民粹主义的政纲。利用盖洛普对12.5万名美国成年人的详细调查数据,我们分析了预测特朗普更有可能获得好感的个人和地理因素。调查结果显示,经济困境促使特朗普获得支持的证据好坏参半。他的支持者受教育程度较低,更有可能从事蓝领工作,但他们的家庭收入相对较高,失业或面临贸易或移民竞争的可能性也不低。另一方面,生活在种族隔离的社区,健康状况较差,社会流动性较低,社会资本较少,对社会保障收入的依赖程度较高,对资本收入的依赖程度较低,这预示着特朗普的支持率会更高。我们使用机器学习算法和一组广泛的附加变量来确认回归分析的理论结果。
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