Synthetic Control and IV in Python — replicating Andersson (2019) on Sweden's carbon tax and CO2 emissions with pysyncon and pyfixest.
Six estimators in one tutorial --- naive pre-post, DiD, two flavours of ITS, RDD on time, Synthetic Control, and CausalImpact --- all applied to California's 1988 Proposition 99 cigarette tax to see how much (and where) they disagree.
Replicating the California tobacco case study from Sakaguchi & Tagawa in R: three estimators, one ATT, and a Nevada-sized spillover.
A beginner-friendly tutorial on the synthetic control method in R, using the Basque Country case study to estimate the economic cost of conflict on regional GDP per capita from 1970 to 1997.
Estimate the causal effect of California's Proposition 99 tobacco control program on cigarette sales using the synthetic control method in Stata, with in-space placebo, in-time placebo, and leave-one-out robustness tests
Synthetic control with prediction intervals quantifies uncertainty in Germany's reunification GDP impact using the scpi package.
Theresa Graefe (Ulm University) has created a very nice RTutor that allows you to replicate the main results of a recent AEJ paper on the causal effects of a CO2 tax in Sweden using the syntetic control method.