WhatIF: R Software for Evaluating Counterfactuals
AbstractWhatIf is an R package that implements the methods for evaluating counterfactuals introduced in King and Zeng (2006a) and King and Zeng (2006b). It offers easy-to-use techniques for assessing a counterfactual's model dependence without having to conduct sensitivity testing over specified classes of models. These same methods can be used to approximate the common support of the treatment and control groups in causal inference.
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Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Statistical Software.
Volume (Year): 15 ()
Issue (Month): i04 ()
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Web page: http://www.jstatsoft.org/
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Daniel Ho & Kosuke Imai & Gary King & Elizabeth A. Stuart, . "MatchIt: Nonparametric Preprocessing for Parametric Causal Inference," Journal of Statistical Software, American Statistical Association, vol. 42(i08).
- Michael Funke & Marc Gronwald, 2009.
"A Convex Hull Approach to Counterfactual Analysis of Trade Openness and Growth,"
Quantitative Macroeconomics Working Papers
20906, Hamburg University, Department of Economics.
- Michael Funke & Marc Gronwald, 2009. "A Convex Hull Approach to Counterfactual Analysis of Trade Openness and Growth," CESifo Working Paper Series 2692, CESifo Group Munich.
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