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Treatment Interaction with Non-Experimental Data in Stata


Reference:

Brown, G. and Mergoupis, T., 2010. Treatment Interaction with Non-Experimental Data in Stata. Working Paper. Bath, U. K.: Department of Economics, University of Bath. (Bath Economics Research Papers; 10/10)

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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 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.

    Details

    Item Type Reports/Papers (Working Paper)
    CreatorsBrown, G.and Mergoupis, T.
    Related URLs
    URLURL Type
    http://people.bath.ac.uk/gkb22/resources.htmlAuthor
    DepartmentsFaculty of Humanities & Social Sciences > Social & Policy Sciences
    Faculty of Humanities & Social Sciences > Economics
    Research CentresBath Economics Research
    Centre for Development Studies
    StatusPublished
    ID Code20960
    Additional InformationID number: 10/10

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