选民何时制裁腐败政客勘误表

IF 3.2 Q1 POLITICAL SCIENCE

Journal of Experimental Political Science Pub Date : 2021-05-17 DOI:10.1017/XPS.2021.13

Marko Klašnja, Noam Lupu, Joshua A. Tucker

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

When Do Voters Sanction Corrupt Politicians? – Corrigendum

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Journal of Experimental Political Science Social Sciences-Sociology and Political Science

CiteScore

5.10

自引率

8.30%

发文量

期刊介绍： The Journal of Experimental Political Science (JEPS) features cutting-edge research that utilizes experimental methods or experimental reasoning based on naturally occurring data. We define experimental methods broadly: research featuring random (or quasi-random) assignment of subjects to different treatments in an effort to isolate causal relationships in the sphere of politics. JEPS embraces all of the different types of experiments carried out as part of political science research, including survey experiments, laboratory experiments, field experiments, lab experiments in the field, natural and neurological experiments. We invite authors to submit concise articles (around 4000 words or fewer) that immediately address the subject of the research. We do not require lengthy explanations regarding and justifications of the experimental method. Nor do we expect extensive literature reviews of pros and cons of the methodological approaches involved in the experiment unless the goal of the article is to explore these methodological issues. We expect readers to be familiar with experimental methods and therefore to not need pages of literature reviews to be convinced that experimental methods are a legitimate methodological approach. We will consider longer articles in rare, but appropriate cases, as in the following examples: when a new experimental method or approach is being introduced and discussed or when novel theoretical results are being evaluated through experimentation. Finally, we strongly encourage authors to submit manuscripts that showcase informative null findings or inconsistent results from well-designed, executed, and analyzed experiments.