Unconditional and Conditional Quantile Treatment Effect: Identification Strategies and Interpretations
Quaderni DSE Working Paper N° 857
13 Pages Posted: 14 Dec 2012
Date Written: December 13, 2012
Abstract
This paper reviews strategies that allow one to identify the effects of policy interventions on the unconditional or conditional distribution of the outcome of interest. This distiction is irrelevant when one focuses on average treatment effects since identifying assumptions typically do not affect the parameter's interpretation. Conversely, finding the appropriate answer to a research question on the effects over the distribution requires particular attention in the choice of the identification strategy. Indeed, quantiles of the conditional and unconditional distribution of a random variable carry a different meaning even if identification of both these set of parameters may require conditioning on observed covariates.
Keywords: impact heterogeneity, quantile treatment effects, rank invariance
JEL Classification: C18
Suggested Citation: Suggested Citation
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