Is Regression Adjustment Supported by the Neyman Model for Causal Inference?
AbstractPaper presented at the fall 2007 Association for Public Policy Analysis and Management conference held in Washington, DC.
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Bibliographic InfoPaper provided by Mathematica Policy Research in its series Mathematica Policy Research Reports with number 5699.
Date of creation: 10 Nov 2007
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Neyman causual model; experimental designs; average treatment effects; regression adjustment; social policy interventions;
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- C - Mathematical and Quantitative Methods
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- James J. Heckman & Edward Vytlacil, 2005.
"Structural Equations, Treatment Effects and Econometric Policy Evaluation,"
NBER Working Papers
11259, National Bureau of Economic Research, Inc.
- James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, 05.
- James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects and Econometric Policy Evaluation," NBER Technical Working Papers 0306, National Bureau of Economic Research, Inc.
- Yang L. & Tsiatis A. A., 2001. "Efficiency Study of Estimators for a Treatment Effect in a Pretest-Posttest Trial," The American Statistician, American Statistical Association, vol. 55, pages 314-321, November.
- Alberto Abadie & Joshua Angrist & Guido Imbens, 1999.
"Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings,"
99-16, Massachusetts Institute of Technology (MIT), Department of Economics.
- Alberto Abadie & Joshua Angrist & Guido Imbens, 2002. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Econometrica, Econometric Society, vol. 70(1), pages 91-117, January.
- James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
- Daniel P. Mayer & Paul E. Peterson & David E. Myers & Christina Clark Tuttle & William G. Howell, 2002. "School Choice in New York City After Three Years: An Evaluation of the School Choice Scholarships Program," Mathematica Policy Research Reports 3180, Mathematica Policy Research.
- Heckman, James J & Smith, Jeffrey, 1997. "Making the Most Out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 487-535, October.
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