Attributes beyond Attitudes

IF 0.8 Q2 LAW Journal of Law and Courts Pub Date : 2021-01-22 DOI:10.1086/713405
Matthew E. K. Hall, Gary E. Hollibaugh, Jonathan Klingler, Adam J. Ramey
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Abstract

Models of behavior on the US Supreme Court almost universally assume that justices’ behavior depends, at least in part, on the characteristics of individual justices. However, few prior studies have attempted to assess these characteristics beyond ideological preferences. In contrast, we apply recent advances in machine learning to develop and validate measures of the Big Five personality traits for Supreme Court justices serving during the 1946 through 2015 terms based on the language in their written opinions. We then conduct an empirical application to demonstrate the importance of these Supreme Court Individual Personality Estimates and discuss their proper use.
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超越态度的属性
美国最高法院的行为模型几乎普遍认为,法官的行为至少在一定程度上取决于个别法官的特征。然而,很少有先前的研究试图评估意识形态偏好之外的这些特征。相比之下,我们应用机器学习的最新进展,根据最高法院法官书面意见中的语言,为1946年至2015年任期内任职的最高法院法官开发和验证五大人格特征的测量方法。然后,我们进行了一个实证应用,以证明这些最高法院个人人格估计的重要性,并讨论它们的正确使用。
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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CiteScore
2.00
自引率
0.00%
发文量
16
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