Endogenous Stratification in Randomized Experiments
© 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 res...
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Language: | English |
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MIT Press - Journals
2021
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Online Access: | https://hdl.handle.net/1721.1/135812 |
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author | Abadie, Alberto Chingos, Matthew M West, Martin R |
author2 | Massachusetts Institute of Technology. Department of Economics |
author_facet | Massachusetts Institute of Technology. Department of Economics Abadie, Alberto Chingos, Matthew M West, Martin R |
author_sort | Abadie, Alberto |
collection | MIT |
description | © 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. |
first_indexed | 2024-09-23T11:29:56Z |
format | Article |
id | mit-1721.1/135812 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T11:29:56Z |
publishDate | 2021 |
publisher | MIT Press - Journals |
record_format | dspace |
spelling | mit-1721.1/1358122023-03-01T15:15:03Z Endogenous Stratification in Randomized Experiments Abadie, Alberto Chingos, Matthew M West, Martin R Massachusetts Institute of Technology. Department of Economics © 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. 2021-10-27T20:29:26Z 2021-10-27T20:29:26Z 2018 2019-10-18T13:15:55Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135812 en 10.1162/REST_A_00732 The Review of Economics and Statistics 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. application/pdf MIT Press - Journals MIT Press |
spellingShingle | Abadie, Alberto Chingos, Matthew M West, Martin R Endogenous Stratification in Randomized Experiments |
title | Endogenous Stratification in Randomized Experiments |
title_full | Endogenous Stratification in Randomized Experiments |
title_fullStr | Endogenous Stratification in Randomized Experiments |
title_full_unstemmed | Endogenous Stratification in Randomized Experiments |
title_short | Endogenous Stratification in Randomized Experiments |
title_sort | endogenous stratification in randomized experiments |
url | https://hdl.handle.net/1721.1/135812 |
work_keys_str_mv | AT abadiealberto endogenousstratificationinrandomizedexperiments AT chingosmatthewm endogenousstratificationinrandomizedexperiments AT westmartinr endogenousstratificationinrandomizedexperiments |