Unconditional and Conditional Quantile Treatment Effect: Identification Strategies and Interpretations

Arbeitspapier

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.

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• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Quaderni - Working Paper DSE ; No. 857

Classification and Topics

• Classification: Wirtschaft ; Methodological Issues: General

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Fort, Margherita
• Event: Veröffentlichung
• (who): Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
• (where): Bologna
• (when): 2012

Further information

• DOI: doi:10.6092/unibo/amsacta/3720
• Handle: http://hdl.handle.net/10419/159696