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Is Regression Adjustment Supported by the Neyman Model for Causal Inference?

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  • Peter Z. Schochet
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    Abstract

    Paper presented at the fall 2007 Association for Public Policy Analysis and Management conference held in Washington, DC.

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    File URL: http://mathematica-mpr.com/publications/pdfs/regressionadjustment.pdf
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    Bibliographic Info

    Paper provided by Mathematica Policy Research in its series Mathematica Policy Research Reports with number 5699.

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    Length: 37
    Date of creation: 10 Nov 2007
    Date of revision:
    Handle: RePEc:mpr:mprres:5699

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    Postal: Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications
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    Web page: http://www.mathematica-mpr.com/
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    Related research

    Keywords: Neyman causual model; experimental designs; average treatment effects; regression adjustment; social policy interventions;

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    1. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects and Econometric Policy Evaluation," NBER Working Papers 11259, National Bureau of Economic Research, Inc.
    2. 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.
    3. Alberto Abadie & Joshua Angrist & Guido Imbens, 1999. "Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings," Working papers 99-16, Massachusetts Institute of Technology (MIT), Department of Economics.
    4. 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.
    5. 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.
    6. 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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