Course Descriptions

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Lecturer: Prof. Dr. Mathias Kifmann

This course analyzes key features of European health care systems with a focus on the German health care system. Furthermore, the design of social health insurance is examined. In particular, we discuss the problem of risk selection and the interaction of social and private health insurance.

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Lecturer: Prof. Dr. Tom Stargardt

This course lectures on how to conduct health economic evaluation of health-related technologies using cost-effectiveness (CEA) and/or cost-utility analysis (CUA). While the first part of the course focusses on the concepts behind CEAs and CUAs, the second part focusses on modelling using decision-trees and markov models.

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Lecturer: Prof. Dr. Martin Spindler

This course gives an introduction into health econometrics and recent advances. The focus will be on causal inference, heterogeneity and machine learning, in particular how machine learning methods can be used for causal inference. The goal of the course is to give the students a first introduction how machine learning methods can be used in the field of health economics.

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Lecturer: Prof. Dr. Eva Oppel

This course is designed to help participants build and extend their understanding of evaluating integrated care programs. Through discussions and analyses of current conceptual and methodological developments in the care evaluation discipline and some of its main reference disciplines, participants will advance their skills of reflecting different approaches in evaluating care programs.

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Lecturers: Prof. Dr. Thomas Siedler, Michael Bahrs

This course discusses the economics of risky health behaviours. It focuses on empirical evaluations of policy strategies to influence smoking, exercise, alcohol consumption and illicit drug use. Students will also learn and apply microeconometric estimation methods and apply them in class.

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