Robust Synthetic Control with Data Science

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Synthetic control is an increasingly popular approach for estimating causal effects in social science and policy research. At Data Science Connect, we explore how data science is revolutionizing synthetic control and improving the robustness of causal inference.

Discover how data science techniques, such as machine learning, can be used to select high-quality control units and construct synthetic controls that accurately capture counterfactual scenarios. Learn about the latest developments in synthetic control and how they are being applied to a range of policy questions. Explore real-world examples of how data science is being used to improve the robustness of causal inference with synthetic control.

Ali O Polat

Senior Data Scientist @Shipt

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