议会投票的维度

K. Poole
{"title":"议会投票的维度","authors":"K. Poole","doi":"10.1093/oxfordhb/9780190469771.013.43","DOIUrl":null,"url":null,"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.","PeriodicalId":146256,"journal":{"name":"The Oxford Handbook of Public Choice, Volume 2","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Dimensionality of Parliamentary Voting\",\"authors\":\"K. Poole\",\"doi\":\"10.1093/oxfordhb/9780190469771.013.43\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":146256,\"journal\":{\"name\":\"The Oxford Handbook of Public Choice, Volume 2\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Oxford Handbook of Public Choice, Volume 2\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/oxfordhb/9780190469771.013.43\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Oxford Handbook of Public Choice, Volume 2","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/oxfordhb/9780190469771.013.43","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Dimensionality of Parliamentary Voting
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.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信