.png){kind=icon}
Return
Partial Distributional Policy Effects
.png){kind=icon}
OA
AI
DOI：10.3982/ECTA9671.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
Counterfactual distribution
partial identification
nonseparable model
Journal
IF:
7.1
Papers:
3.0K
Citations:
4.3W
Organization
No organization information available
Cited Papers
No cited papers available