Measuring Bias and Uncertainty in DW-NOMINATE Ideal Point Estimates via the Parametric Bootstrap

Measuring Bias and Uncertainty in DW-NOMINATE Ideal Point Estimates via the Parametric Bootstrap
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DOI:
10.1093/pan/mpp005
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发表时间:
2009-06-01
期刊:
影响因子:
5.4
通讯作者:
Rosenthal, Howard
Rosenthal, Howard
中科院分区:
法学1区
文献类型:
--
作者:
Carroll, Royce;Lewis, Jeffrey B.;Rosenthal, Howard

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美国国会的DW-NOMINATE分数被广泛用于衡量立法者在一段时间内的意识形态位置。这些分数已被用于政治学和密切相关领域的大量研究。本文将刘易斯和Poole(2004)关于参数自助法的工作推广到DW-NOMINATE,得到了立法者理想点的标准误差。这些标准误差在DW-NOMINATE坐标范围的1%-4%范围内。
DW-NOMINATE scores for the U.S. Congress are widely used measures of legislators' ideological locations over time. These scores have been used in a large number of studies in political science and closely related fields. In this paper, we extend the work of Lewis and Poole (2004) on the parametric bootstrap to DW-NOMINATE and obtain standard errors for the legislator ideal points. These standard errors are in the range of 1%-4% of the range of DW-NOMINATE coordinates.