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

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  • Peter Z. Schochet

Abstract

This paper examines both theoretically and empirically whether the common practice of using OLS multivariate regression models to estimate average treatment effects (ATEs) under experimental designs is justified by the Neyman model for causal inference.

Suggested Citation

  • Peter Z. Schochet, "undated". "Is Regression Adjustment Supported by the Neyman Model for Causal Inference? (Presentation)," Mathematica Policy Research Reports abfc39d59c714499b2fe42f68, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:abfc39d59c714499b2fe42f683c7c7c8
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    File URL: https://www.mathematica.org/-/media/publications/pdfs/regressionadjustment.pdf
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    References listed on IDEAS

    as
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