Agnostic notes on regression adjustments to experimental data: Reexamining Freedman’s critique
Abstract
Freedman [Adv. in Appl. Math. 40 (2008) 180–193; Ann. Appl. Stat. 2 (2008) 176–196] critiqued ordinary least squares regression adjustment of estimated treatment effects in randomized experiments, using Neyman’s model for randomization inference. Contrary to conventional wisdom, he argued that adjustment can lead to worsened asymptotic precision, invalid measures of precision, and small-sample bias. This paper shows that in sufficiently large...
Paper Details
Title
Agnostic notes on regression adjustments to experimental data: Reexamining Freedman’s critique
Published Date
Mar 1, 2013
Volume
7
Issue
1
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