Author:
Ramey Adam J.,Klingler Jonathan D.,Hollibaugh Gary E.
Abstract
We apply recent advances in machine learning to measure Congressmember personality traits using floor speeches from 1996 to 2014. We also demonstrate the superiority of text-based measurement over survey-based measurement by showing that personality traits are correlated with survey response rates for members of Congress. Finally, we provide one empirical application showcasing the importance of personality on congressional behavior.
Publisher
Cambridge University Press (CUP)
Subject
Political Science and International Relations,Sociology and Political Science
Cited by
38 articles.
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