The course introduces students to the counterfactual causality model and provides them with a unified framework for answering the questions of cause and effect. It covers the state-of-the-art methods of causal inference such as experimental designs, matching, instrumental variables, regression discontinuity, differences-in-differences and synthetic controls. The course emphasises the intuition behind the methodology rather than formal proofs. It is based on a mixture of textbooks and articulated lessons as well as practical exercises using the most popular software packages.
After completing this module, students will be able to
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