Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models
Difference-in-differences (DID) is commonly used for causal inference in time-series cross-sectional data. It requires the assumption that the average outcomes of treated and control units would have followed parallel paths in the absence of treatment. In this paper, we propose a method that not onl...
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Veröffentlicht in: | Political analysis 2017-01, Vol.25 (1), p.57-76 |
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