TY  - RPRT
CY  - Toulouse
ID  - publications48124
UR  - http://iast.fr/pub/33156
A1  - Chen, Daniel L.
Y1  - 2018/12//
N2  - Using data from 1946–2014, we show that audio features of lawyers’ introductory statements improve the performance of the best prediction models of Supreme Court outcomes. We infer voice attributes using a 15-year sample of human-labeled Supreme Court advocate voices. Audio features improved prediction of case outcomes by 1.1 percentage points. Lawyer traits receive approximately half the weight of the most important feature from the models without audio features.
PB  - IAST Working Paper
T3  - IAST Working Paper
M1  - working_paper
TI  - Attorney voice and the U.S. supreme Court
AV  - public
EP  - 18
ER  -