Packages are sorted in chronological order. To install packages from GitHub, get the GitHub package:
net install github, from("https://haghish.github.io/github/").
Users can usually find internal help files for the Stata packages. Some packages do have dedicated websites, PDFs, or GitHub repositories show. Or, you may check the equivalent R or Python packages for users’ help guides.
| Name | Installation | Website | Package by | Reference paper |
|---|---|---|---|---|
| synth | ssc install synth, replace | | Jens Hainmueller, Alberto Abadie, Alexis Diamond | Abadie, A., Diamond, A., and J. Hainmueller. 2014. Comparative Politics and the Synthetic Control Method. American Journal of Political Science (Forthcoming 2014). |
| Abadie, A., Diamond, A., and J. Hainmueller. 2010. Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program. Journal of the American Statistical Association 105(490): 493-505. | ||||
| Abadie, A. and Gardeazabal, J. 2003. Economic Costs of Conflict: A Case Study of the Basque Country. American Economic Review 93(1):113-132. | ||||
| synth_runner | ssc install syntn_runner, replace | | Sebastian Galiani, Brian Quistorff | Cavallo, E., S. Galiani, I. Noy, and J. Pantano. 2013. Catastrophic natural disasters and economic growth. Review of Economics and Statistics 95: 1549-1561. |
| Quistorff, B. and S. Galiani. 2017. The synth_runner package: Utilities to automate synthetic control estimation using synth. Stata Journal 17: 834-849. | ||||
| synth_asmd | Priscillia Hunt | Parast, L., Hunt, P. Griffin, B.A., and D. Powell. 2020. When Is a Match Sufficient? A Score-based Balance Metric for the Synthetic Control Method. Journal of Causal Inference 8(1): 209–228. | ||
| npsynth | ssc install npsyntn, replace | | Giovanni Cerulli | Cerulli, G. 2015. Econometric Evaluation of Socio-Economic Programs: Theory and Applications, Springer. |
| Cerulli, G., 2019. A flexible Synthetic Control Method for modeling policy evaluation, Economics Letters, 182, 40-44. | ||||
| allsynth | ssc install allsyntn, replace | | Wiltshire, J.C. | Abadie, A., and J. L'Hour, 2021. A Penalized Synthetic Control Estimator for Disaggregated Data. Journal of the American Statistical Association, 116(536): 1817-1834. |
| Dube, A. and Ben Zipperer, 2015. Pooling multiple case studies using synthetic controls: An application to minimum wage policies. Institute for the Study of Labor (IZA) Discussion Papers 8944. | ||||
| Ben-Michael, E., Feller, A. and J. Rothstein, 2021. The Augmented Synthetic Control Method. Journal of the American Statistical Association, 116(536): 1789-1803. | ||||
| Wiltshire, J.C., 2021. Walmart Supercenters and Monopsony Power: How a Large, Low-Wage Employer Impacts Local Labor Markets. Working paper. | ||||
| Wiltshire, J.C., 2022. allsynth: (Stacked) Synthetic Control Bias-Correction Utilities for Stata. Working paper. | ||||
| scpi | net install scpi, from(https://raw.githubusercontent.com/nppackages/scpi/master/stata) replace | https://nppackages.github.io/scpi/ | Cattaneo, M. D., Feng, Y., Palomba F., and Titiunik, R | Abadie, A. 2021. Using synthetic controls: Feasibility, data requirements, and methodological aspects. Journal of Economic Literature,59(2), 391-425. |
| Cattaneo, M. D., Feng, Y., and Titiunik, R. 2021. Prediction Intervals for Synthetic Sontrol Methods. Journal of the American Statistical Association, 116(536), 1865-1880. | ||||
| Cattaneo, M. D., Feng, Y., Palomba F., and Titiunik, R. 2022. scpi: Uncertainty Quantification for Synthetic Control Estimators, arXiv:2202.05984. | ||||
| fect | net install fect, from(https://raw.githubusercontent.com/xuyiqing/fect_stata/master/) replace | https://yiqingxu.org/packages/fect/stata/fect_md.html | Licheng Liu (MIT); Ye Wang (NYU); Yiqing Xu(Stanford); Ziyi Liu(PKU) | Licheng Liu, et al. 2022. "A Practical Guide to Counterfactual Estimators for Causal Inference with Time-Series Cross-Sectional Data." |
| Athey, Susan, et al. 2018 "Matrix completion methods for causal panel data models." arXiv preprint arXiv:1710.10251 |