Estimating the Effect of Treatments Allocated by Randomized Waiting Lists
From MaRDI portal
Publication:4992135
DOI10.3982/ECTA16032zbMATH Open1466.91139arXiv1511.01453OpenAlexW2896469619MaRDI QIDQ4992135
Clément de Chaisemartin, Luc Behaghel
Publication date: 7 June 2021
Published in: Econometrica (Search for Journal in Brave)
Abstract: Oversubscribed treatments are often allocated using randomized waiting lists. Applicants are ranked randomly, and treatment offers are made following that ranking until all seats are filled. To estimate causal effects, researchers often compare applicants getting and not getting an offer. We show that those two groups are not statistically comparable. Therefore, the estimator arising from that comparison is inconsistent. We propose a new estimator, and show that it is consistent. Finally, we revisit an application, and we show that using our estimator can lead to sizably different results from those obtained using the commonly used estimator.
Full work available at URL: https://arxiv.org/abs/1511.01453
instrumental variablewaiting listslocal average treatment effectrandomized controlled trialsnon compliancenon-takers
Medical applications (general) (92C50) Resource and cost allocation (including fair division, apportionment, etc.) (91B32)
Related Items (2)
Empirical strategies in economics: illuminating the path from cause to effect ⋮ Nonrandom exposure to exogenous shocks
This page was built for publication: Estimating the Effect of Treatments Allocated by Randomized Waiting Lists
