Damian Clarke, Daniel Pailañir, Susan Athey, Guido Imbens
arXiv 27 Jan 2023 · Econometrics · 93 citations (OpenAlex)
arXiv:2301.11859 · PDF · DOI · OpenAlex · Extracted main text
In this paper, we describe a computational implementation of the Synthetic difference-in-differences (SDID) estimator of Arkhangelsky et al. (2021) for Stata. Synthetic difference-in-differences can be used in a wide class of circumstances where treatment effects on some particular policy or event are desired, and repeated observations on treated and untreated units are available over time. We lay out the theory underlying SDID, both when there is a single treatment adoption date and when adoption is staggered over time, and discuss estimation and inference in each of these cases. We introduce the sdid command which implements these methods in Stata, and provide a number of examples of use, discussing estimation, inference, and visualization of results.
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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 | Abadie, A., A. Diamond, and J. Hainmueller (2010) Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program | 1.000 | 8 | 3 | 100% |
| 2 | Arkhangelsky, D., S. Athey, D. A. Hirshberg, G. W. Imbens, and S. Wa… (2021) Synthetic Difference-in-Differences self | 0.959 | 42 | 7 | 88% |
| 3 | Kranz, S (2022) Synthetic Difference-in-Differences with Time-Varying Covariates | 0.928 | 4 | 3 | 100% |
| 4 | Bhalotra, S. R., D. Clarke, J. F. Gomes, and A. Venkataramani (2022) Maternal Mortality and Women’s Political Power | 0.737 | 3 | 2 | 100% |
| 5 | Hirshberg, D. A. Undated synthdid: Synthetic Difference in Differences Estimation. https://synth-inference.github.io/synthdid/ | 0.737 | 3 | 2 | 100% |
| 6 | Ben-Michael, E., A. Feller, and J. Rothstein (2021) The Augmented Synthetic Control Method | 0.644 | 2 | 2 | 100% |
| 7 | Freyaldenhoven, S., C. Hansen, and J. M. Shapiro (2019) Pre-event Trends in the Panel Event-Study Design | 0.644 | 2 | 2 | 100% |
| 8 | Abadie, A., and J. Gardeazabal (2003) The Economic Costs of Conflict: A Case Study of the Basque Country | 0.405 | 1 | 1 | 100% |
| 9 | Abadie, A., and J. L'Hour (2021) A Penalized Synthetic Control Estimator for Disaggregated Data | 0.405 | 1 | 1 | 100% |
| 10 | Abadie, A., A. Diamond, and J. Hainmueller (2015) Comparative Politics and the Synthetic Control Method | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 31 scored citations.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | A Short Note on Event-Study Synthetic Difference-in-Differences Estimators | 0.693 | 5 | 1 |
| 2 | Impact of the Availability of Chat-GPT on Software Development Activity | 0.405 | 1 | 1 |