Deep IV in Law

Appellate Decisions and Texts Impact Sentencing in Trial Courts

Zhe Huang (Tufts University, Massachusetts), Xinyue Zhang, Ruofan Wang , Daniel L. Chen

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English

Cambridge University Press
25 August 2022

Legal system: general; Natural language & machine translation; Machine learning

Series: Elements in Law, Economics and Politics

Do US Circuit Courts' decisions on criminal appeals influence sentence lengths imposed by US District Courts? This Element explores the use of high-dimensional instrumental variables to estimate this causal relationship. Using judge characteristics as instruments, this Element implements two-stage models on court sentencing data for the years 1991 through 2013. This Element finds that Democratic, Jewish judges tend to favor criminal defendants, while Catholic judges tend to rule against them. This Element also finds from experiments that prosecutors backlash to Circuit Court rulings while District Court judges comply. Methodologically, this Element demonstrates the applicability of deep instrumental variables to legal data.

By: Zhe Huang (Tufts University Massachusetts), Xinyue Zhang, Ruofan Wang, Daniel L. Chen
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Edition: New edition
Dimensions: Height: 228mm, Width: 151mm, Spine: 4mm
Weight: 90g
ISBN: 9781009296373
ISBN 10: 100929637X
Series: Elements in Law, Economics and Politics
Pages: 75
Publication Date: 25 August 2022
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

1. Introduction; 2. Theoretical framework; 3. Dataset; 4. Empirical model; 5. Results; 6. On the practical use of Deep IV for law and economics; 7. Limitations from a computer science perspective; 8. Limitations from an economics perspective; 9. Potential future work; Appendix; References.