arXiv 18 Sep 2024 · Econometrics
arXiv:2409.12353 · PDF · DOI · OpenAlex · Extracted main text
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.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Dmitry Arkhangelsky, Susan Athey, David A. Hirshberg, Guido W. Imben… (2021) Synthetic difference-in-differences | 1.000 | 6 | 3 | 100% |
| 2 | Andreas Olden and Jarle Møen (2022) The triple difference estimator | 0.737 | 3 | 2 | 100% |
| 3 | Alberto Abadie, Alexis Diamond, and Jens Hainmueller (2009) Synthetic control methods for comparative case studies: Estimating the effect of California’s Tobacco Control Program | 0.405 | 1 | 1 | 100% |
| 4 | Joshua D. Angrist and Jörn-Steffen Pischke (2009) Mostly Harmless Econometrics: An Empiricist's Companion | 0.405 | 1 | 1 | 100% |
| 5 | Marianne Bertrand, Esther Duflo, and Sendhil Mullainathan (2004) How Much Should We Trust Differences-In-Differences Estimates? | 0.405 | 1 | 1 | 100% |
| 6 | Jens Hainmueller (2012) Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies | 0.405 | 1 | 1 | 100% |
Showing the top 6 of 6 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Semiparametric Triple Difference Estimators | 0.511 | 2 | 1 |