首页> 外文期刊>Working Paper Series >Political Polarization and Expected Economic Outcomes
【24h】

Political Polarization and Expected Economic Outcomes

机译:政治极化和预期的经济结果

获取原文
获取外文期刊封面目录资料

摘要

We use a large-scale representative survey of households from October 19-21 that elicits respondents' expectations about the presidential election's outcome as well as their economic expectations to document several new facts. First, people disagree strongly about the likely outcome of the election, despite widespread publicly available polling information. Most Democrats are very confident in a Biden win while most Republicans are very confident in a Trump win. Second, respondents predict a fairly rosy economic scenario if their preferred candidate wins but a dire one if the other candidate wins. Since most respondents are confident in their favored outcome, unconditional forecasts are similar across parties despite the fact that underlying probability distributions and conditional forecasts are very different. Third, when presented with recent polling data, most voters change their views by little unless they are independent and/or have relatively weak priors about the outcome. Information that emphasizes the uncertainty in polling data has larger effects in terms of reducing polarization in expected probabilities over different electoral outcomes. Fourth, exogenous information that changes individuals' probability distribution over electoral outcomes also changes their unconditional forecasts in a corresponding manner. These changes in economic expectations in turn are likely to affect household economic decisions.
机译:我们在19-210月19日至21日使用大规模代表性调查,享有受访者对总统选举结果的预期,以及他们对若干新事实的经济期望。首先,尽管广泛公开的投票信息普遍存在,但人们对选举的可能结果非常不同意。大多数民主人士在竞选胜利中非常有信心,而大多数共和党人对特朗普赢得非常有信心。其次,如果其他候选人赢得胜利,则受访者如果他们的首选候选人赢得了一个相当玫瑰色的经济情景。由于大多数受访者对他们有利的结果充满信心,因此,尽管潜在的概率分布和条件预测是非常不同的,但各方的无条件预测是相似的。第三,当借助于最近的投票数据时,除非他们是独立的和/或有相对较弱的成果,否则大多数选民将其观点更改。强调投票数据的不确定性的信息在降低不同选举结果的预期概率方面具有更大的影响。第四,改变个人概率分布对选举结果的外源信息也以相应的方式改变了他们无条件预测。这些经济期望的变化又可能影响家庭经济决策。

著录项

  • 来源
    《Working Paper Series》 |2020年第28044期|a1-a21-50|共52页
  • 作者单位

    Department of Economics University of Texas at Austin 2225 Speedway Austin TX 78712 and NBER;

    Department of Economics 530 Evans Hall #3880 University of California Berkeley Berkeley CA 94720-3880 and IZA and also NBER;

    Booth School of Business University of Chicago 5807 South Woodlawn Avenue Chicago IL 60637 and NBER;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号