Estimating Voter Migration in Canada Using Generalized Maximum Entropy

Werner Antweiler
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引用次数: 10

Abstract

As voters switch political preferences from election to election, understanding the magnitude of voter flows among parties and transitions between voters and non-voters is an essential element of political analysis. As exit polls are uncommon in Canada, voter migration can also be estimated using suitable statistical techniques. Backing out micro-level voter migration probabilities from macro-level election data is a problem of `ecological inference.' This paper uses the method of generalized maximum entropy (GME) to estimate voter migration patterns for the two most recent recent Canadian federal elections (2004 and 2006) and the most recent provincial election in British Columbia (2005). The estimation results answer important questions about voter behaviour in Canada. These results will be of interest to political scientists, historians, and politicians, as well as econometric practicioners who wish to estimate voter migration.
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用广义最大熵估计加拿大选民迁移
随着选民在一次又一次选举中改变政治偏好,了解选民在政党之间流动的规模以及选民和非选民之间的转变是政治分析的一个基本要素。由于出口民调在加拿大不常见,选民迁移也可以使用适当的统计技术进行估计。从宏观层面的选举数据中剔除微观层面的选民迁移概率是一个“生态推理”问题。本文使用广义最大熵(GME)方法来估计最近两次加拿大联邦选举(2004年和2006年)和最近一次不列颠哥伦比亚省选举(2005年)的选民迁移模式。估计结果回答了有关加拿大选民行为的重要问题。这些结果将引起政治学家、历史学家和政治家以及希望估计选民迁移的计量经济学实践者的兴趣。
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