Endogenous Stratification in Randomized Experiments
Name
rest_a_00732.pdf
Description
Published version
Size
390.13 KB
Format
Adobe PDF
Checksum (MD5)
210fab2fc8d4fc9a3d393df663e5b984
Author(s)
Abadie, Alberto
Chingos, Matthew M
West, Martin R
Date Issued
2018
Journal
The Review of Economics and Statistics
Publisher
MIT Press - Journals
Version
Final published version
Abstract
© 2018 by the President and Fellows of Harvard College and the Massachusetts Institute of Technology. Policymakers are often interested in estimating how policy interventions affect the outcomes of those most in need of help. This concern has motivated the practice of disaggregating experimental results by groups constructed on the basis of an index of baseline characteristics that predicts the values of individual outcomes without the treatment. This paper shows that substantial biases may arise in practice if the index is estimated by regressing the outcome variable on baseline characteristics for the full sample of experimental controls. We propose alternative methods that correct this bias and show that they behave well in realistic scenarios.
MIT Department
Massachusetts Institute of Technology. Department of Economics
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1162/REST_A_00732
