Understanding and Improving Fixed Eects Regression Models for Causal Inference

Published: Jan 1, 2011
Abstract
Fixed eects regression models are the primary workhorse for causal inference in applied panel data analysis. In this paper, we establish that in the case of a binary treatment variable with no pre-treatment covariate, xed eects estimators are algebraically equivalent to particular matching estimators. At the most basic level, the results suggest that xed...
Paper Details
Title
Understanding and Improving Fixed Eects Regression Models for Causal Inference
Published Date
Jan 1, 2011
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