What is it about?
A method of causal inference that relaxes the parallel trends assumption in a difference-in-differences setup.
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Why is it important?
Difference-in-differences is commonly used in the social sciences, but its identification assumptions are not always satisfied. This method helps to solve this practical problem.
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This page is a summary of: Generalized Synthetic Control Method: Causal Inference with Interactive Fixed Effects Models, Political Analysis, January 2017, Cambridge University Press,
DOI: 10.1017/pan.2016.2.
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