Treatment Interactions with Non-Experimental Data in Stata
Graham K. Brown
University of Bath - Department of Social & Policy Sciences
University of Bath - Department of Economics
September 23, 2010
Stata Journal, 11 (4), pp. 545-555
University of Bath Economics Research Paper No. 10/10
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 of the results of this literature are now implemented in Stata. With non-experimental (observational) data, and in particular when selection into treatment depends on unmeasured factors, treatment effects can be estimated using Stata's treatreg command. Although not originally designed for this purpose, treatreg can be used to consistently estimate treatment interactions parameters. In the presence of interactions, however, adjustments are required to generate predicted values and estimate the Average Treatment Effect (ATE). This paper introduces commands that perform this adjustment for the case of multiplicative interactions and shows the adjustment that is required for more complicated interactions.
Number of Pages in PDF File: 11
Keywords: Treatment-Effects Models, Interaction Terms
JEL Classification: C31, C87Accepted Paper Series
Date posted: September 24, 2010 ; Last revised: October 16, 2013
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