EconBase
← All papers

Counterfactual: An R Package for Counterfactual Analysis

Mingli Chen, Victor Chernozhukov, Iván Fernández-Val, Blaise Melly

arXiv 25 Oct 2016 · Statistics — Computation · publishedThe R Journal (2017) · 2 citations (OpenAlex)

arXiv:1610.07894 · PDF · DOI · OpenAlex · Extracted main text

Abstract

The Counterfactual package implements the estimation and inference methods of Chernozhukov, Fernández-Val and Melly (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 paper serves as an introduction to the package and displays basic functionality of the commands contained within.

Citation extraction

9
references
13
in-text mentions
9
distinct cited
0
self-citations
6,598
main-text words

appendix boundary found by none_found · 100% of the source is main text. Read the extracted text to check this.

Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1V. Chernozhukov, I. Fernández-Val, and B. Melly (2013) Inference on counterfactual distributions0.92843100%
2R. Koenker (2016) quantreg: Quantile Regression, 20160.64422100%
3A. Blinder (1973) Wage discrimination: reduced form and structural estimates0.40511100%
4V. Chernozhukov and H. Hong (2002) Three-step censored quantile regression and extramarital affairs0.40511100%
5D. Cox (1972) Regression models and life-tables0.40511100%
6R. Koenker and G. Bassett (1978) Regression quantiles0.40511100%
7R. Oaxaca (1973) Male-female wage differentials in urban labor markets0.40511100%
8J. Stock (1991) Nonparametric policy analysis: an application to estimating hazardous waste cleanup benefits0.40511100%
9T. M. Therneau (2015) A Package for Survival Analysis in S, 20150.40511100%

Showing the top 9 of 9 scored citations.

Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Advancing Distribution Decomposition Methods Beyond Common Supports: Applications to Racial Wealth Disparities0.73733