The Dimensionality of Parliamentary Voting

K. Poole
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Abstract

The chapter discusses different ways to estimate the dimensionality of roll-call voting data. These methods use data from the U.S. House of Representatives, and the author shows that there were periods when a two-dimensional representation was necessary and others when a one-dimensional representation captures all but a relatively small percentage of the variance. The author then considers data from the UN General Assembly from before the fall of the Berlin Wall, finding a communist vs. anti-communist dimension and a pro- and anti-Israel dimension, as well as data from the French National Assembly early in the 5th Republic that finds a one-dimensional representation fits nearly perfectly. The author then considers some more technical issues about best methods, concluding that there is no foolproof way of determining the “true” dimensionality of a roll-call matrix, and no substitute for substantive understanding of the politics and policy shaping the roll calls.
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议会投票的维度
本章讨论了估计唱名表决数据维数的不同方法。这些方法使用来自美国众议院的数据,作者表明,在某些时期,二维表示是必要的,而在其他时期,一维表示可以捕获除了相对较小百分比的方差之外的所有方差。然后,作者考虑了柏林墙倒塌前联合国大会的数据,找到了共产主义与反共主义的维度,以及支持和反对以色列的维度,以及第五共和国早期法国国民议会的数据,发现一维代表几乎完美地吻合。然后,作者考虑了一些关于最佳方法的技术性问题,得出的结论是,没有万无一失的方法来确定点名矩阵的“真实”维度,也没有什么可以替代对决定点名的政治和政策的实质性理解。
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