WhatIf: Software for Evaluating Counterfactuals


Heather Stoll, Gary King, and Langchee Zeng. 2005. “WhatIf: Software for Evaluating Counterfactuals.” Journal of Statistical Software, 15, 4, Pp. 1--18. Publisher's version Copy at http://j.mp/2s9X72a
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This article describes WhatIf: Software for Evaluating Counterfactuals, 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.

Last updated on 05/30/2017