Estimation and Inference of Average Treatment Effect in Percentage Points under Heterogeneity

Ying Zeng

Papers from arXiv.org

Abstract: In semi-log regression models with heterogeneous treatment effects, the average treatment effect (ATE) in log points and its exponential transformation minus one underestimate the ATE in percentage points. I propose new estimation and inference methods for the ATE in percentage points, with inference utilizing the Fenton-Wilkinson approximation. These methods are particularly relevant for staggered difference-in-differences designs, where treatment effects often vary across groups and periods. I prove the methods' large-sample properties and demonstrate their finite-sample performance through simulations, revealing substantial discrepancies between conventional and proposed measures. Two empirical applications further underscore the practical importance of these methods.

Date: 2024-08
New Economics Papers: this item is included in nep-ecm and nep-inv
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