Estimating marginal treatment effects using parametric and semiparametric methods
Scott Brave
Federal Reserve Bank of Chicago
Chicago, IL
[email protected]
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Thomas Walstrum
University of Illinois at Chicago
and
Federal Reserve Bank of Chicago
Chicago, IL
[email protected]
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Abstract. We describe the new command margte, which computes marginal and
average treatment effects for a model with a binary treatment and a continuous
outcome given selection on unobservables and returns. Marginal treatment effects
differ from average treatment effects in instances where the impact of treatment
varies within a population in correlation with unobserved characteristics. Both
parametric and semiparametric estimation methods can be used with margte, and
we provide evidence from a Monte Carlo simulation for when each is preferable.
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Scott Brave, Thomas Walstrum
View all articles with these keywords:
margte, locpoly2, etregress, movestay, marginal treatment effect, average treatment effect, generalized Roy model, local instrumental variables
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