To introduce practical empirical techniques for addressing topics in health economics
Upon completion of this course, you will be able to:
1. Identify some common datasets used in the international health economics literature
2. Understand ethical, technical and administrative issues that commonly arise in the use of such datasets.
3. Perform basic data cleaning and data management related to demographic and health survey data.
4. Become familiar with common econometric tools for program evaluation and economic analysis in Stata, including principal components analyses, regression analysis, instrumental variables analysis, and panel data methods;
5. Conduct a cost-effectiveness analysis by building and analysing a simple decision tree model, incorporating Markov modelling, using Tree-Age software
6. Present findings concisely and clearly according to international standards for health economics analysis.
We gratefully acknowledge the contributions of syllabi and materials from German Rodriguez (Princeton University), Feng Liu (Shanghai University of Finance and Economics) and Henry Glick (University of Pennsylvania).