An Experimental Investigation of Electoral Complexity

选举复杂性的实验研究

• 批准号: 9810380
• 负责人: Michael Munger
• 金额: $ 5万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-07-15 至 2001-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9810380&HistoricalAwards=false
• 关键词: Experimental; Investigation; Electoral; Complexity

This research explores the ways in which candidates choose their political platforms when facing complex decision problems. This research uses spatial theory to locate voters and relies on previous theoretical results that show how voters make decisions when choosing among candidates in complex policy spaces. This research extends what has previously been done by focusing on the ways that candidates build their platforms when facing voters who have preferences across very complex policy spaces. While the standard models show that disequilibrium is common and that candidates can occupy any position in a complex space, this research points out that these theoretical problems are often quickly solved by human actors. The research uses laboratory experiments to test predictions about how candidates behave when the number of voters is varied, when the information about voter location is varied, and when the complexity of the policy space is varied. This research sheds light on the ways in which candidates handle very complex decision problems.

本研究探讨了候选人在面对复杂决策问题时选择政治平台的方式。这项研究使用空间理论来定位选民，并依赖于先前的理论结果，这些理论结果显示了选民在复杂的政策空间中选择候选人时如何做出决定。这项研究扩展了之前所做的工作，重点关注候选人在面对那些在非常复杂的政策空间中有偏好的选民时建立自己平台的方式。虽然标准模型表明，不均衡是常见的，候选者可以占据复杂空间中的任何位置，但这项研究指出，这些理论问题往往很快就会被人类行动者解决。这项研究使用实验室实验来测试候选人在选民数量变化、选民所在地信息变化以及政策空间复杂性变化时的行为预测。这项研究揭示了候选人处理非常复杂的决策问题的方式。