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

Peter Z. Schochet

Mathematica Policy Research Reports from Mathematica Policy Research

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.

Keywords: Neyman causual model; experimental designs; average treatment effects; regression adjustment; social policy interventions (search for similar items in EconPapers)
Pages: 37
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Citations: View citations in EconPapers (34)

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