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WhatIF: R Software for Evaluating Counterfactuals

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Author Info

  • Heather Stoll
  • Gary King
  • Langche Zeng

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.

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File URL: http://www.jstatsoft.org/v15/i04/paper
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Bibliographic Info

Article provided by American Statistical Association in its journal Journal of Statistical Software.

Volume (Year): 15 ()
Issue (Month): i04 ()
Pages:

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Handle: RePEc:jss:jstsof:15:i04

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Web page: http://www.jstatsoft.org/

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References

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  1. 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).
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Cited by:
  1. 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.

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