WhatIf: R software for evaluating counterfactuals

Journal of Statistical Software

Volumn 15, Issue 4, 2006, Pages 1-18

  Stoll, Heather ^a   King, Gary ^b   Zeng, Langche ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b HARVARD UNIVERSITY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Causal inference; Common support; Counterfactuals; Model dependence; R; Sensitivity analysis

Indexed keywords

EID: 31344443963     PISSN: 15487660     EISSN: 15487660     Source Type: Journal    
DOI: 10.18637/jss.v015.i04     Document Type: Review

References (4)

1. Ho D, Imai K, King G, Stuart E (2005). "Matching as Nonparametric Preprocessing for Parametric Causal Inference." URL http://gking.harvard.edu/matchit/.
2. Imai K, King G, Lau O (2004). "Zelig: Everyone's Statistical Software." URL http://gking.harvard.edu/zelig/.
3. King G, Zeng L (2006a). "The Dangers of Extreme Counterfactuals." Political Analysis. Forthcomin, URL http://gking.harvard.edu/files/abs/counterft-abs.shtml.
4. King G, Zeng L (2006b). "When Can History Be Our Guide? The Pitfalls of Counterfactual Inference." International Studies Quarterly. Forthcoming, URL http://gking.harvard.edu/files/counterf.pdf.