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Treatment interactions with nonexperimental data in Stata

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Author Info

  • Graham K. Brown

    ()
    (University of Bath)

  • Thanos Mergoupis

    ()
    (University of Bath)

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    Abstract

    Treatment effects may vary with the observed characteristics of the treated, often with important implications. In the context of experimental data, a growing literature deals with the problem of specifying treatment interaction terms that most effectively capture this variation. Some results of this literature are now implemented in Stata. With nonexperimental (observational) data, and in particular when selection into treatment depends on unmeasured factors, treatment effects can be estimated using Stata’s treatreg command. Though not originally designed for this purpose, treatreg can be used to consistently estimate treatment interaction parameters. With interactions, however, adjustments are required to generate predicted values and estimate the average treatment effect. In this article, we introduce commands that perform this adjustment for multiplicative interactions, and we show the required adjustment for more complicated interactions. Copyright 2011 by StataCorp LP.

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    Bibliographic Info

    Article provided by StataCorp LP in its journal Stata Journal.

    Volume (Year): 11 (2011)
    Issue (Month): 4 (December)
    Pages: 545-555

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    Handle: RePEc:tsj:stataj:v:11:y:2011:i:4:p:545-555

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    Related research

    Keywords: itreatreg; treatment-effects models; interaction terms;

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