U.S. flag

An official website of the United States government, Department of Justice.

Dot gov

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Https

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

The Only Thing Constant is Change: A Longitudinal Analysis of Race, Gender, and District-Level Effects in Federal Sentencing, 1998 - 2016

Award Information

Award #
2020-R2-CX-0016
Location
Congressional District
Status
Awarded, but not yet accepted
Funding First Awarded
2020
Total funding (to date)
$74,722

Description of original award (Fiscal Year 2020, $74,722)

The proposed dissertation is a secondary analysis of federal sentencing guideline data to examine the influence of extralegal factors (race/ethnicity, gender, district) on sentencing outcomes over time. The purpose is to improve upon past guideline research largely based on cross-sectional studies which have consistently detected persistent extralegal effects. The research questions are: 1) how has the influence of race/ethnicity on federal sentencing outcomes changed over time, 2) how has the influence of gender on federal sentencing outcomes changed over time, and 3) how has between-district variation in federal sentencing outcomes changed over time? Sentencing guideline data collected by the U.S. Sentencing Commission are publicly available for a nearly 20-year period (1998 to 2016). The student will collect and merge data at both the case and district level, and examine incarceration and sentence length outcomes. Since the Sentencing Reform Act of 1984 created federal sentencing guidelines, several U.S. Supreme Court decisions (i.e. Koon v. United States, United States v. Booker) and legislation have impacted federal sentencing. There have also been broad shifts in caseloads and demographic characteristics of the U.S. communities. The sentencing guideline data will be supplemented by district-level Federal Judicial Caseload Statistics data and United States Census Bureau data. Multilevel modeling will consider: 1) case, 2) district, and 3) time to assess how federal sentencing outcomes vary on those variables. Cross-level interaction analysis will assess whether extra-legal variable effects have changed over time. Statistical models will apply different interval/ratio level dependent variable techniques (Poisson regression, negative binomial regression). Dissemination includes three academic journal submissions and presentations at national conferences.

Note: This project contains a research and/or development component, as defined in applicable law, and complies with Part 200 Uniform Requirements - 2 CFR 200.210(a)(14). CA/NCF

Date Created: September 18, 2020