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Implements the estimation and inference methods for counterfactual analysis described in Chernozhukov, Fernandez-Val and Melly (2013) <doi:10.3982/ECTA10582> "Inference on Counterfactual Distributions," Econometrica, 81(6). 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.
| Version: | 1.2 |
| Imports: | quantreg, survival, Hmisc, foreach, doRNG, doParallel, parallel |
| Published: | 2020-01-31 |
| DOI: | 10.32614/CRAN.package.Counterfactual |
| Author: | Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val, Blaise Melly |
| Maintainer: | Ivan Fernandez-Val <ivanf at bu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| In views: | CausalInference |
| CRAN checks: | Counterfactual results |
| Reference manual: | Counterfactual.pdf |
| Vignettes: |
Using Animal |
| Package source: | Counterfactual_1.2.tar.gz |
| Windows binaries: | r-devel: Counterfactual_1.2.zip, r-release: Counterfactual_1.2.zip, r-oldrel: Counterfactual_1.2.zip |
| macOS binaries: | r-release (arm64): Counterfactual_1.2.tgz, r-oldrel (arm64): Counterfactual_1.2.tgz, r-release (x86_64): Counterfactual_1.2.tgz, r-oldrel (x86_64): Counterfactual_1.2.tgz |
| Old sources: | Counterfactual archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.