Publication Date:
2020
abstract:
In this article, I build on the work of Abadie and Gardeazabal (2003, American Economic Review 93: 113-132) and Abadie, Diamond, and Hainmueller (2010, Journal of the American Statistical Association 105: 493-505), extending the synthetic control method for program evaluation--implemented in Stata via the community-contributed command synth--to the case of a nonparametric identification of the synthetic (or counterfactual) time pattern of a treated unit (a country, a region, a city, etc.) subject to a specific intervention in a given time. After theoretical description of the model, I present npsynth, the command I developed for estimating the nonparametric synthetic control method proposed in this article. Using both simulated and real data, I set out a comparison of the performance of the parametric and nonparametric methods and widely discuss the results.
Iris type:
01.01 Articolo in rivista
Keywords:
Synthetic control; Program evaluation; Stata; Causal inference; nonparametric statistics
List of contributors:
Cerulli, Giovanni
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