Explaining political surprises (aka making methodology fun): determinants of voting in Ukrainian presidential elections

Florin Fesnic
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Abstract

The majority of social science majors dislike statistics and research methods. Things can, and should be, different; (social) statistics and research methods can be interesting and fun. To do just that, I currently work on an applied methodology book project. Here I present a modified version of a draft chapter for the book, in which I answer the question why, in Ukraine, there was a strong negative correlation between the regional shares of the vote for Leonid Kuchma in two consecutive presidential elections. The modelling of political competition as two-dimensional (one socioeconomic, one ethno-linguistic) reveals the dominance of the latter dimension in Ukrainian politics. In addition to statistical and methodological lessons, the paper offers substantive lessons, relevant for the important role (positive or negative) that institutional design, policy-making and elite behavior can play in an ethnically divided emerging democracy.
解释政治意外(也就是让方法论变得有趣):乌克兰总统选举投票的决定因素
大多数社会科学专业的学生不喜欢统计和研究方法。事情可以而且应该有所不同;(社会)统计和研究方法可以是有趣的和有趣的。为了做到这一点,我目前正在进行一个应用方法论书籍项目。在这里,我提出了本书一章草案的修改版本,其中我回答了为什么在乌克兰,列昂尼德·库奇马在连续两次总统选举中获得的地区选票份额之间存在强烈的负相关关系。将政治竞争建模为二维(一个是社会经济,一个是民族-语言),揭示了后者在乌克兰政治中的主导地位。除了统计和方法方面的经验教训,本文还提供了实质性的经验教训,这些教训与制度设计、政策制定和精英行为在一个种族分裂的新兴民主国家中可能发挥的重要作用(积极或消极)有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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