Evaluating the maximum regret of statistical treatment rules with sample data on treatment response

Valentyn Litvin () and Charles Manski
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Valentyn Litvin: Northwestern University

Stata Journal, 2021, vol. 21, issue 1, 97-122

Abstract: In this article, we present the wald_tc command, which computes the maximum regret (MR) of a user-specified statistical treatment rule that uses sample data on realized treatment response (and optionally an instrumental variable) to determine a treatment choice for a population. Because the outcomes of counterfactual treatments are not observed and treatment selection in the study population may not be random, decision makers may be able only to partially identify average treatment effects. wald_tc allows users to compute the MR of a proposed statistical treatment rule under a flexible specification of the data-generating process and determines the state that generates MR.

Keywords: wald_tc; maximum regret; average treatment effect; instrumen- tal variable; partial identification (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1177/1536867X211000006

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