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

Valentyn Litvin, Charles F. Manski

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)97-122
Number of pages26
JournalStata Journal
Volume21
Issue number1
DOIs
StatePublished - Mar 2021

Keywords

  • average treatment effect
  • instrumental variable
  • maximum regret
  • partial identification
  • st0629
  • wald_tc

ASJC Scopus subject areas

  • Mathematics (miscellaneous)

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