Open Access
August 2015 Assessing the Potential Impact of a Nationwide Class-Based Affirmative Action System
Alice Xiang, Donald B. Rubin
Statist. Sci. 30(3): 297-327 (August 2015). DOI: 10.1214/15-STS514

Abstract

We examine the possible consequences of a change in law school admissions in the United States from an affirmative action system based on race to one based on socioeconomic class. Using data from the 1991–1996 Law School Admission Council Bar Passage Study, students were reassigned attendance by simulation to law school tiers by transferring the affirmative action advantage for black students to students from low socioeconomic backgrounds. The hypothetical academic outcomes for the students were then multiply-imputed to quantify the uncertainty of the resulting estimates. The analysis predicts dramatic decreases in the numbers of black students in top law school tiers, suggesting that class-based affirmative action is insufficient to maintain racial diversity in prestigious law schools. Furthermore, there appear to be no statistically significant changes in the graduation and bar passage rates of students in any demographic group. The results thus provide evidence that, other than increasing their representation in upper tiers, current affirmative action policies relative to a socioeconomic-based system neither substantially help nor harm minority academic outcomes, contradicting the predictions of the “mismatch” hypothesis, which asserts otherwise.

Citation

Download Citation

Alice Xiang. Donald B. Rubin. "Assessing the Potential Impact of a Nationwide Class-Based Affirmative Action System." Statist. Sci. 30 (3) 297 - 327, August 2015. https://doi.org/10.1214/15-STS514

Information

Published: August 2015
First available in Project Euclid: 10 August 2015

zbMATH: 1332.91093
MathSciNet: MR3383883
Digital Object Identifier: 10.1214/15-STS514

Keywords: Causal inference , class-based affirmative action , law school admissions , multiple imputation , racial affirmative action

Rights: Copyright © 2015 Institute of Mathematical Statistics

Vol.30 • No. 3 • August 2015
Back to Top