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Simplified treatment effect on the treated

Published on:

8 February 2024

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Paper Authors:

Andrew Yiu


Key Details

Studies sample variants of average treatment effect on treated

Derives distributions and variance estimators for each variant

Sample ATT can have larger variance than population ATT

Proposes 'mixed' ATT to address this issue

Also studies weighting all individuals by treatment propensity

AI generated summary

Simplified treatment effect on the treated

This paper studies modified versions of a common causal estimand, the average treatment effect on the treated (ATT). It finds that replacing population parameters with sample versions changes statistical properties in complex ways. A key finding is that the common sample ATT can be estimated with more uncertainty than the original ATT, motivating an improved variant. The analysis also introduces weighting individuals by likelihood of treatment receipt.

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