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Conditional Average Treatment Effects Estimation Using Stata
Di Liu – StataCorp LLC.
04. September 2025
Abstract
Treatment effects estimate the causal effects of a treatment on an outcome. These effects may be heterogeneous. Average treatment effects conditional on a set of variables (CATEs) help us understand such heterogeneous treatment effects and, by construction, are useful for evaluating how different treatment-assignment policies impact various groups within a population.
A must-attend for anyone working with causal inference, policy evaluation, or Stata-based data analysis.