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Beyond generalization of the ATE: Designing randomized trials to understand treatment effect heterogeneity

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  • Elizabeth Tipton

Abstract

Researchers conducting randomized trials have increasingly shifted focus from the average treatment effect to understanding moderators of treatment effects. Current methods for exploring moderation focus on model selection and hypothesis tests. At the same time, recent developments in the design of randomized trials have argued for the need for population‐based recruitment in order to generalize well. In this paper, we show that a different population‐based recruitment strategy can be implemented to increase the precision of estimates of treatment effect moderators, and we explore the trade‐offs between optimal designs for the average treatment effect and moderator effects.

Suggested Citation

  • Elizabeth Tipton, 2021. "Beyond generalization of the ATE: Designing randomized trials to understand treatment effect heterogeneity," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(2), pages 504-521, April.
  • Handle: RePEc:bla:jorssa:v:184:y:2021:i:2:p:504-521
    DOI: 10.1111/rssa.12629
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    1. Robert B. Olsen & Larry L. Orr & Stephen H. Bell & Elizabeth A. Stuart, 2013. "External Validity in Policy Evaluations That Choose Sites Purposively," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 32(1), pages 107-121, January.
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    5. Robert B. Olsen & Stephen H. Bell & Austin Nichols, 2018. "Using Preferred Applicant Random Assignment (PARA) to Reduce Randomization Bias in Randomized Trials of Discretionary Programs," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 37(1), pages 167-180, January.
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    1. Elizabeth Tipton & Robert B. Olsen, "undated". "Enhancing the Generalizability of Impact Studies in Education," Mathematica Policy Research Reports 35d5625333dc480aba9765b3b, Mathematica Policy Research.

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