A split-treatment design - Archive ouverte HAL Access content directly
Preprints, Working Papers, ... Year : 2024

A split-treatment design

Abstract

I devise a difference-in-differences design that accounts for the possibility that some treatment effect is split in the reactions to two or more events. At the intersection of settings with a single treatment and with multiple treatments, regression-based methods for this split-treatment design can be subject both to negative weights and contamination bias. I propose a simple solution, a first-difference regression with sample constraints in the spirit of Dube et al.’s (2023) LP-DiD, that allows to identify and estimate sensible causal parameters of interest. This estimator is efficient under random walk errors and unrestricted heterogeneity across groups and events.
Fichier principal
Vignette du fichier
WP-2024-11.pdf (1.57 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

hal-04532056 , version 1 (04-04-2024)

Identifiers

  • HAL Id : hal-04532056 , version 1

Cite

Jean-Baptiste Bonnier. A split-treatment design. 2024. ⟨hal-04532056⟩

Collections

UNIV-FCOMTE CRESE
8 View
2 Download

Share

Gmail Mastodon Facebook X LinkedIn More