Causal Diagrams For Treatment Effect Estimation With Application To Efficient Covariate Selection

Review of Economics and Statistics

Volumn 93, Issue 4, 2011, Pages 1453-1459

  White, Halbert ^a   Lu, Xun ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 82055193049     PISSN: 00346535     EISSN: 15309142     Source Type: Journal    
DOI: 10.1162/REST_a_00153     Document Type: Note

References (23)

1. Abadie, A., and G. Imbens, "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica 74 (2006), 235-267.
2. Chalak, K., and H. White, "Independence and Conditional Independence in Causal Systems," UCSD Department of Economics discussion paper (2010).
3. Chalak, K., "An Extended Class of Instrumental Variables for the Estimation of Causal Effects," Canadian Journal of Economics 44 (2011), 1-51.
4. Dawid, A. P., "Conditional Independence in Statistical Theory," Journal of the Royal Statistical Society, Series B 41 (1979), 1-31.
5. Dawid, A. P., "Influence Diagrams for Causal Modeling and Inference," International Statistical Review 70 (2002), 161-189.
6. Goldberger, A., "Structural Equation Methods in the Social Sciences," Econometrica 40 (1972), 979-1001.
7. Hahn, J., "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effect," Econometrica 66 (1998), 315-331.
8. Hahn, J., "Functional Restriction and Efficiency in Causal Inference," this review 86 (2004), 73-76.
9. Hahn, J., K. Hirano, and D. Karlan, "Adaptive Experimental Design Using the Propensity Score," MPRA paper no. 8315 (2008).
10. Heckman, J., "Econometric Causality," NBER working paper no. 13934 (2008).
11. Heckman, J., and S. Navarro-Lozano, "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," this review 86 (2004), 30-57.
12. Hirano, K., G. Imbens, and G. Ridder, "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica 71 (2003), 1161-1189.
13. Imbens, G., "Nonparametric Estimation ofAverageTreatment Effects under Exogeneity: A Review," this review 86 (2004), 4-29.
14. Imbens, G., and W. Newey, "Identification and Estimation of Triangular Simultaneous Equations Models without Additivity," Econometrica 77 (2009), 1481-1512.
15. Imbens, G., and J.Wooldridge, "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature 47 (2009), 5-86.
16. Li, Q., and J. Racine, Nonparametric Econometrics Theory and Practice (Princeton, NJ: Princeton University Press, 2007).
17. Morgan, S. L., and C. Winship, Counterfactuals and Causal Inference: Methods and Principles for Social Research (Cambridge: Cambridge University Press, 2007).
18. Pearl, J., Causality (Cambridge: Cambridge University Press, 2000).
19. Rosenbaum, P., "The Consequences of Adjusting for a Concomitant Variable That Has Been Affected by Treatment," Journal of the Royal Statistical Society, Series A 147 (1984), 656-666.
20. White, H., and K. Chalak, "Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning," Journal of Machine Learning Research 10 (2009), 1759-1799.
21. Wooldridge, J., "Violating Ignorability of Treatment by Controlling for Too Many Factors," Econometric Theory, 21 (2005), 1026-1029.
22. Wooldridge, J., "Acknowledgement of Related Prior Work," Econometric Theory 22 (2006), 1177-1178.
23. Wright, S., "Correlation and Causation," Journal of Agricultural Research 20 (1921), 557-585.