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Collaborative Research on the Nature of Electoral Accountability

Collaborative Research on the Nature of Electoral Accountability
选举问责性质的合作研究
批准号:
0819545
负责人:
Dimitri Landa
金额:
$13.61万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-15 至 2011-08-31

项目摘要

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中文摘要
翻译
分析民主治理的一个基本问题是政治家的表现如何与选民的决定联系起来。该提案要求支持此类选举责任的理论和实验研究。特别是,该项目将研究两种机制:学习机制,即选民利用过去的表现来衡量政客的基本特征;制裁机制,即选民奖励表现良好的政客,惩罚表现不佳的政客,从而实现问责制。每一种观点都会得出关于制度如何影响问责制的不同结论。因此,理解每种机制的独特作用及其相互作用对于民主治理的学术研究和改善问责制的机构设计都具有重要意义。理论分析将表明制裁的标准观点是不完整的——在一个重要的意义上,它错误地描述了制裁的运作方式。鉴于此,实验将检验以下假设:在各种自然问责模型中,制裁和学习同时运作,并且学习可以主导制裁。该项目描述了这种情况发生的方式和时间。该项目对政治学和政策制定者具有更广泛的重要影响。在许多领域,例如任期限制、地区规模和政策制定的透明度,政治问责模式的政策影响取决于人们是否关注制裁或学习。如果这两种机制实际上都在运作,现有的政策结论可能是不正确或不完整的。这项研究还提供了通过参与实验的构建、设计、实施和分析来加强研究生培训的机会。最后,收集的实验数据将公开,以便其他研究人员可以进一步探讨与选举问责相关的问题。
英文摘要
A fundamental question in the analysis of democratic governance is how the performance of politicians is linked to voters' decisions. This proposal requests support for theoretical and experimental research on such electoral accountability. In particular, the project will examine two mechanisms, learning, where voters use past performance as an indication of politicians' underlying characteristics, and sanctioning, where voters reward politicians for good performance and punish them for poor performance, by which accountability can be achieved. Each of these views leads to distinct conclusions about how institutions affect accountability. As such, understanding each mechanism's distinct role and their interaction has important implications both for the scholarly study of democratic governance and for the design of institutions to improve accountability.The theoretical analysis will show that the standard view of sanctioning is incomplete-in an important sense, it mischaracterizes how sanctioning works. Given this, the experiments will test the hypothesis that in a wide variety of natural models of accountability, sanctioning and learning operate simultaneously and that learning can dominate sanctioning. The project characterizes how and when that occurs.This project has important broader impacts for political science and for policy makers. There are a number of areas, such as term limits, district magnitude, and transparency of policy-making, where the policy implications of models of political accountability depend on whether one focuses on sanctioning or learning. If both mechanisms are actually operative, existing policy conclusions may be incorrect or incomplete. This research also provides opportunities to enhance the training of graduate students through involvement in the construction, design, implementation, and analysis of experiments. Finally, the experimental data collected will be made publicly available so that other researchers can explore further questions related to electoral accountability.
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 负责人:
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