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Optimal Screening in Experiments with Partial Compliance

Christopher Carter, Adeline Delavande, Mario Fiorini, Peter Siminski, Patrick Vu

arXiv 10 Dec 2025 · Econometrics

arXiv:2512.09206 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This note studies optimal experimental design under partial compliance when experimenters can screen participants prior to randomization. Theoretical results show that retaining all compliers and screening out all non-compliers achieves three complementary aims: (i) the Local Average Treatment Effect is the same as the standard 2SLS estimator with no screening; (ii) median bias is minimized; and (iii) statistical power is maximized. In practice, complier status is unobserved. We therefore discuss feasible screening strategies and propose a simple test for screening efficacy. Future work will conduct an experiment to demonstrate the feasibility and advantages of the optimal screening design.

Citation extraction

7
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22
in-text mentions
7
distinct cited
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appendix boundary found by appendix_command · 79% of the source is main text. Read the extracted text to check this.

Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Hazard, Yagan and Löwe, Simon (2025) Improving Late Estimation in Experiments with Imperfect Compliance0.87472100%
2Spiess, Jann and Coussens, Stephen (2021) Improving Inference from Simple Instruments through Compliance Estimation0.87472100%
3Borusyak, Kirill and Hull, Peter (2024) Negative Weights Are No Concern in Design-Based Specifications0.73732100%
4Imbens, Guido W. and Angrist, Joshua D (1994) Identification and Estimation of Local Average Treatment Effects0.5112250%
5Angrist, Joshua D. and Kolesár, Michal (2024) One Instrument to Rule Them All: The Bias and Coverage of Just-ID IV0.40511100%
6Hull, Peter and Borusyak, Kirill (2025) Optimal Formula Instruments0.40511100%
7Tarozzi, Alessandro and Desai, Jaikishan and Johnson, Kristin (2015) The Impacts of Microcredit: Evidence from Ethiopia0.40511100%

Showing the top 7 of 7 scored citations.