This work was supported by the National Science Foundation through grants SES-1947805 and SES-2019432, and by the National Institutes of Health through grant R01 GM072611-16.
https://nppackages.github.io/replication
-
Source: Billmeier and Nannicini (2013): Assessing Economic Liberalization Episodes: A Synthetic Control Approach, Review of Economics and Statistics 95 (3): 983-1001.
-
Dataset: dta
-
Python implementation: main
-
R implementation: main
-
Stata implementation: main
-
Cattaneo, Feng, Palomba and Titiunik (2022): Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption.
Working paper.
Supplemental -
Cattaneo, Feng and Titiunik (2021): Prediction Intervals for Synthetic Control Methods.
Journal of the American Statistical Association 116(536): 1865-1880.
Supplemental