Person-centered treatment (PeT) effects: Individualized treatment effects using instrumental variables
Anirban Basu
Departments of Pharmacy, Health Services, and Economics
University of Washington
Seattle, WA
and National Bureau of Economic Research
Cambridge, MA
[email protected]
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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.
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Anirban Basu
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petiv, local instrumental-variables methods, person-centered treatment effects, treatment-effects heterogeneity
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