Skip to Main content Skip to Navigation
Journal articles

Estimating the Effect of Treatments Allocated by Randomized Waiting Lists

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 when the number of waitlists goes to infinity. We propose a new estimator, and show that it is consistent, provided the waitlists have at least two seats. Finally, we revisit an application, and we show that using our estimator can lead to a statistically significant difference with respect to the results obtained using the commonly used estimator.
Document type :
Journal articles
Complete list of metadata

https://halshs.archives-ouvertes.fr/halshs-02973595
Contributor : Caroline Bauer <>
Submitted on : Wednesday, October 21, 2020 - 10:07:23 AM
Last modification on : Monday, February 1, 2021 - 7:12:02 PM

Links full text

Identifiers

Citation

Clément Chaisemartin, Luc Behaghel. Estimating the Effect of Treatments Allocated by Randomized Waiting Lists. Econometrica, Econometric Society, 2020, 88 (4), pp.1453-1477. ⟨10.3982/ECTA16032⟩. ⟨halshs-02973595⟩

Share

Metrics

Record views

55