Counterfactual analysis in R: a vignette

Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val and Blaise Melly ()

No 64/17, CeMMAP working papers from Institute for Fiscal Studies

Abstract: The R package Counterfactual implements the estimation and inference methods of Chernozhukov et al. (2013) for counterfactual analysis. The counterfactual distributions considered are the result of changing either the marginal distribution of covariates related to the outcome variable of interest, or the conditional distribution of the outcome given the covariates. They can be applied to estimate quantile treatment effects and wage decompositions. This vignette serves as an introduction to the package and displays basic functionality of the commands contained within.

Date: 2017-12-30
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.cemmap.ac.uk/wp-content/uploads/2020/08/CWP6417.pdf (application/pdf)

Related works:
Working Paper: Counterfactual analysis in R: a vignette (2017)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:azt:cemmap:64/17

DOI: 10.1920/wp.cem.2017.6417

Access Statistics for this paper

More papers in CeMMAP working papers from Institute for Fiscal Studies Contact information at EDIRC.
Bibliographic data for series maintained by Dermot Watson ().