A Way to Synthetic Triple Difference
Econometrics
2024-09-24 v2
Abstract
This paper discusses a practical approach that combines synthetic control with triple difference to address violations of the parallel trends assumption. By transforming triple difference into a DID structure, we can apply synthetic control to a triple-difference framework, enabling more robust estimates when parallel trends are violated across multiple dimensions. The proposed procedure is applied to a real-world dataset to illustrate when and how we should apply this practice, while cautions are presented afterwards. This method contributes to improving causal inference in policy evaluations and offers a valuable tool for researchers dealing with heterogeneous treatment effects across subgroups.
Keywords
Cite
@article{arxiv.2409.12353,
title = {A Way to Synthetic Triple Difference},
author = {Castiel Chen Zhuang},
journal= {arXiv preprint arXiv:2409.12353},
year = {2024}
}