eprintid: 28406
rev_number: 19
eprint_status: archive
userid: 1482
importid: 105
dir: disk0/00/02/84/06
datestamp: 2018-12-21 10:53:41
lastmod: 2023-07-18 08:44:49
status_changed: 2019-02-06 16:03:34
type: monograph
metadata_visibility: show
creators_name: Chen, Daniel L.
creators_idrefppn: 241586631
title: Attorney Voice and the U.S. Supreme Court
ispublished: pub
subjects: subjects_ECO
abstract: 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.
date: 2018-12
date_type: published
publisher: TSE Working Paper
official_url: http://tse-fr.eu/pub/33155
faculty: tse
divisions: tse
language: en
has_fulltext: TRUE
view_date_year: 2018
full_text_status: public
monograph_type: working_paper
series: TSE Working Paper
volume: 18-978
place_of_pub: Toulouse
institution: Université Toulouse 1 Capitole
department: Toulouse School of Economics
book_title: TSE Working Paper
oai_identifier: oai:tse-fr.eu:33155
harvester_local_overwrite: department
harvester_local_overwrite: faculty
harvester_local_overwrite: place_of_pub
harvester_local_overwrite: institution
harvester_local_overwrite: creators_idrefppn
oai_lastmod: 2023-06-08T08:41:52Z
oai_set: tse
site: ut1
citation:   Chen, Daniel L. <https://www.idref.fr/241586631>  (2018) Attorney Voice and the U.S. Supreme Court.  TSE Working Paper, n. 18-978, Toulouse     
document_url: https://publications.ut-capitole.fr/id/eprint/28406/1/Attorney_Voice_and_the_US_Supreme_Court_LawAsData.pdf