Revisiting the synthetic control estimator

By Bruno Ferman, Cristine Pinto. 2016

54 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ca669ac30ec90c4aef70cc97146a11ce5d38e26e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Stefan Klößner
2. Ashok Kaul
3. Kathleen T. Li
4. Manuel Schieler
5. Gregor Pfeifer
6. Bruno Ferman
7. Irene Botosaru

Citations in the corpus

• Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods (2019, background): “Moreover, it is known that the standard bootstrap does not work for the synthetic control estimator (Andrews, 2000; Ferman and Pinto, 2016).”
• Synthetic Control Methods: Never Use All Pre-Intervention Outcomes Together With Covariates (2015, background): “…more and more probable to run into the case discussed above, particularly if the number of covariates is small.9 For a detailed discussion on specifications regarding pre-treatment outcome usage, including the case of all values and only one single value, respectively, see Ferman et al. (2017).”