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Person-centered treatment (PeT) effects: Individualized treatment effects using instrumental variables

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  • Anirban Basu

    (University of Washington)

Abstract

I describe a command, petiv, that uses a local instrumental-variables (LIV) approach to estimate person-centered treatment effects for a variety of specifications for the LIV estimand as outlined in Basu (2014, Journal of Applied Econometrics 29: 671–691). The petiv command creates a new variable in the dataset that contains the person-centered treatment effects for each individual in the dataset. However, the command takes the validity of the instrumental variables and the specification of the LIV estimand as given. Appropriateness of these features of an LIV analysis should be determined before running the petiv command. The individual effects can be used to answer distributional questions and can also be easily aggregated to obtain mean treatment-effects estimates.

Suggested Citation

  • Anirban Basu, 2015. "Person-centered treatment (PeT) effects: Individualized treatment effects using instrumental variables," Stata Journal, StataCorp LP, vol. 15(2), pages 397-410, June.
    • Handle: RePEc:tsj:stataj:v:15:y:2015:i:2:p:397-410
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    Cited by:

    1. Silvia Moler‐Zapata & Richard Grieve & Anirban Basu & Stephen O’Neill, 2023. "How does a local instrumental variable method perform across settings with instruments of differing strengths? A simulation study and an evaluation of emergency surgery," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2113-2126, September.

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