Health Economics

Knowledge and Understanding: The primary objective of this course is to equip students with the necessary skills required for using the statistical software Stata. It will provide an overview of Stata’s main functions and their application using real economic data. The syllabus includes data management, data visualization and basic regression analysis, including Ordinary Least Squares and Fixed Effects estimation methods. A significant portion of the course will focus on familiarising students with the software, coding, conducting analyses and interpreting results. Applying Knowledge and Understanding: This course places a strong emphasis on practical application through exercises in each lecture, enabling students to gain hands-on experience with Stata by: creating new datasets from raw data, generating charts and maps and conducting statistical and econometric analyses. In addition, group assignments will be a crucial part of the learning process. Communication Skills: Group projects aim to enhance both collaborative and communication skills. Through group assignments, students will improve their ability to interpret and communicate statistical findings and methodological decisions clearly in written form. Learning Skills By the end of this course, students are expected to be capable of independently carrying out basic empirical analyses using Stata. They will develop analytical skills necessary for responding to research questions with empirical evidence, thereby supporting their master thesis or other academic activities.