Chen, Daniel L., Cui, Xing, Shang, Lanyu and Zheng, Junchao (2016) What Matters: Agreement Between U.S. Courts of Appeals Judges. TSE Working Paper, n. 16-747, Toulouse

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Abstract

Federal courts are a mainstay of the justice system in the United States. In this study, we analyze 387,898 cases from U.S. Courts of Appeals, where judges are randomly assigned to panels of three. We predict which judge dissents against co-panelists and analyze the dominant features that predict such dissent with a particular attention to the biographical features that judges share. Random forest, a method developed in Breiman (2001), achieves the best classification. Dissent is predominantly driven by case features, though personal features also predict agreement.

Item Type: Monograph (Working Paper)
Language: English
Date: December 2016
Place of Publication: Toulouse
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Universite Toulouse 1 Capitole
Site: UT1
Date Deposited: 04 Jan 2017 09:10
Last Modified: 07 Jul 2023 13:55
OAI Identifier: oai:tse-fr.eu:31299
URI: https://publications.ut-capitole.fr/id/eprint/22673

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