WhatIF: R Software for Evaluating Counterfactuals

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WhatIF: R Software for Evaluating Counterfactuals

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Title: WhatIF: R Software for Evaluating Counterfactuals
Author: Stoll, Heather; King, Gary; Zeng, Langche

Note: Order does not necessarily reflect citation order of authors.

Citation: Stoll, Heather, Gary King, and Langche Zeng. 2005. WhatIF: R software for evaluating counterfactuals. Journal of Statistical Software 15(4).
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Abstract: WhatIf 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.
Published Version: http://www.jstatsoft.org/v15/i04
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:3445051

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  • FAS Scholarly Articles [7218]
    Peer reviewed scholarly articles from the Faculty of Arts and Sciences of Harvard University
 
 

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