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  • 标题:Counterfactual: An R Package for Counterfactual Analysis
  • 本地全文:下载
  • 作者:Mingli Chen ; Victor Chernozhukov ; Iván Fernández-Val
  • 期刊名称:R News
  • 印刷版ISSN:1609-3631
  • 出版年度:2017
  • 卷号:9
  • 期号:1
  • 页码:370-384
  • 语种:English
  • 出版社:The R Foundation for Statistical Computing
  • 摘要:The Counterfactual package implements the estimation and inference methods of Cher nozhukov 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 paper serves as an introduction to the package and displays basic functionality of the commands contained within.
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