Estimating the effect of treatments allocated by randomized waiting lists

Clément de Chaisemartin and Luc Behaghel

Papers from arXiv.org

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.

Date: 2015-11, Revised 2018-10
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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http://arxiv.org/pdf/1511.01453 Latest version (application/pdf)

Related works:
Journal Article: Estimating the Effect of Treatments Allocated by Randomized Waiting Lists (2020)
Working Paper: Estimating the Effect of Treatments Allocated by Randomized Waiting Lists (2020)
Working Paper: Estimating the Effect of Treatments Allocated by Randomized Waiting Lists (2020)
Working Paper: Estimating the Effect of Treatments Allocated by Randomized Waiting Lists (2019)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1511.01453

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