Open AccessTesting Local Average Treatment Effect Assumptions
Author(s) -
Ismaël Mourifié,
Yuanyuan Wan
Publication year - 2017
Publication title -
the review of economics and statistics
Language(s) - English
Resource type - Journals
eISSN - 1530-9142
pISSN - 0034-6535
DOI - 10.1162/rest_a_00622
Subject(s) - econometrics , intersection (aeronautics) , identification (biology) , instrumental variable , estimation , computer science , economics , statistics , algorithm , mathematics , engineering , botany , management , biology , aerospace engineering
In this paper, we propose an easy-to-implement procedure to test the key conditions for the identification and estimation of the local average treatment effect (LATE; Imbens & Angrist, 1994). We reformulate the testable implications of LATE assumptions as two conditional inequalities, which can be tested in the intersection bounds framework of Chernozhukov, Lee, and Rosen (2013) and easily implemented using the Stata package of Chernozhukov et al. (2015). We apply the proposed tests to the draft eligibility instrument in Angrist (1991), the college proximity instrument in Card (1993), and the same-sex instrument in Angrist and Evans (1998).