Three Tests for Measuring Unjustified Disparate Impacts in Organ Transplantation: The Problem of 'Included Variable' Bias

20 Pages Posted: 8 Jan 2004

See all articles by Ian Ayres

Ian Ayres

Yale University - Yale Law School; Yale University - Yale School of Management

Date Written: December 28, 2003

Abstract

Because disparate impact and disparate treatment claims have distinct elements, they require distinct methods of testing. This article analyzes three different ways of testing of unjustified disparate impacts in organ transplantation, which I will call: the traditional test, the omitted-variable test, and the outcome test.

Keywords: disparate impact, discrimination, statistics

JEL Classification: C21, J71

Suggested Citation

Ayres, Ian, Three Tests for Measuring Unjustified Disparate Impacts in Organ Transplantation: The Problem of 'Included Variable' Bias (December 28, 2003). Yale Law & Economics Research Paper No. 290. Available at SSRN: https://ssrn.com/abstract=483242 or http://dx.doi.org/10.2139/ssrn.483242

Ian Ayres (Contact Author)

Yale University - Yale Law School ( email )

P.O. Box 208215
New Haven, CT 06520-8215
United States
203-432-7101 (Phone)
203-432-2592 (Fax)

Yale University - Yale School of Management

135 Prospect Street
P.O. Box 208200
New Haven, CT 06520-8200
United States

Register to save articles to
your library

Register

Paper statistics

Downloads
259
rank
115,238
Abstract Views
3,272
PlumX Metrics