Health Economics

Knowledge and Understanding: Students will learn the fundamental methodologies and approaches used in policy evaluation, focusing on economic questions and data analysis. The course will cover essential analytical tools, including linear and nonlinear regression models, randomized control trials, and the instrumental variable approach. Furthermore, the course will cover more advanced policy evaluation methods, such as the regression discontinuity design, the difference-in-differences approach, and Machine Learning for causal inference. The emphasis will be on understanding the strengths and limitations of each method in evaluating policies. Applying Knowledge and Understanding: Participants will gain hands-on experience in applying these methodologies to real-world policy issues. This practical application will enable students to critically assess the design and outcomes of policy evaluations, considering the potential threats to internal validity and the implications of the findings for policy-making. They will learn to formulate independent analyses to evaluate the efficacy of policies and their impact on society. Communication Skills: Students will enhance their skills in analysing policy evaluation findings verbally and in writing. This includes crafting clear and convincing narratives around empirical evidence and methodological approaches to support policy recommendations. Learning Skills: By the end of the course, students will be adept at applying statistical analysis and economic reasoning to various topics in economics and policy evaluation. They will be equipped to conduct policy evaluations, interpret existing research, and contribute to evidence-based policy-making.