Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/58805
Authors: 
Rothe, Christoph
Year of Publication: 
2011
Series/Report no.: 
Discussion Paper series, Forschungsinstitut zur Zukunft der Arbeit 6076
Abstract: 
In this paper, we propose a method to evaluate the effect of a counterfactual change in the unconditional distribution of a single covariate on the unconditional distribution of an outcome variable of interest. Both fixed and infinitesimal changes are considered. We show that such effects are point identified under general conditions if the covariate affected by the counterfactual change is continuously distributed, but are typically only partially identified if its distribution is discrete. For the latter case, we derive informative bounds making use of the available information. We also discuss estimation and inference.
Subjects: 
counterfactual distribution
partial identification
nonseparable model
JEL: 
C14
C31
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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