A Penalized Synthetic Control Estimator for Disaggregated Data
Author:
Affiliation:
1. Department of Economics, Massachusetts Institute of Technology, Cambridge, MA
2. NBER, Cambridge, MA
3. CREST, ENSAE Paris, France
4. Insee, Paris, France
Funder
NSF
nsf
Publisher
Informa UK Limited
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/01621459.2021.1971535
Reference41 articles.
1. Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program
2. Comparative Politics and the Synthetic Control Method
3. The Economic Costs of Conflict: A Case Study of the Basque Country
4. Large Sample Properties of Matching Estimators for Average Treatment Effects
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