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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w27194 |
来源ID | Working Paper 27194 |
Issue Salience and Political Stereotypes | |
Pedro Bordalo; Marco Tabellini; David Y. Yang | |
发表日期 | 2020-05-25 |
出版年 | 2020 |
语种 | 英语 |
摘要 | US voters exaggerate the differences in attitudes held by Republicans and Democrats on a range of socioeconomic and political issues, and greater perceived polarization is associated with greater political engagement and affective polarization. In this paper, we examine the drivers of such perceived partisan differences. We find that a model of stereotypes, where distortions are stronger for issues that are more salient to voters, captures important features of the data. First, perceived partisan differences are predictable from the actual differences across parties, in particular from the relative prevalence of extreme attitudes. Second, perceived partisan differences are larger on issues that individuals consider more important. Third, issue salience increases the tendency to over-weigh extreme types. Exploiting nationally representative survey data, we show that the end of the Cold War in 1991, which shifted US voters’ attention away from external threats, increased perceived, relative to actual, partisan differences on domestic issues. The rise was stronger for issues with more stereotypical partisan differences. The reverse pattern occurred after the terrorist attacks in 2001, when attention swung back towards external threats. Consistent with the mechanism of salience-modulated stereotyping, beliefs about political groups can shift dramatically even when the underlying partisan differences change little. |
主题 | Microeconomics ; Behavioral Economics ; Economics of Information |
URL | https://www.nber.org/papers/w27194 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/584867 |
推荐引用方式 GB/T 7714 | Pedro Bordalo,Marco Tabellini,David Y. Yang. Issue Salience and Political Stereotypes. 2020. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w27194.pdf(827KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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