Unconditional and Conditional Quantile Treatment Effect: Identification Strategies and Interpretations A

Fort, Margherita (2012) Unconditional and Conditional Quantile Treatment Effect: Identification Strategies and Interpretations A. Bologna: Dipartimento di Scienze economiche DSE, p. 13. DOI 10.6092/unibo/amsacta/3720. In: Quaderni - Working Paper DSE (857). ISSN 2282-6483.
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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.

Abstract
Document type
Monograph (Working Paper)
Creators
CreatorsAffiliationORCID
Fort, Margherita
Keywords
Impact heterogeneity, quantile treatment effects, rank invariance.
Subjects
ISSN
2282-6483
DOI
Deposit date
02 Jul 2013 13:09
Last modified
03 Oct 2013 08:40
URI

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