| Dozent/in |
Prof. Dr. Stefan Boes |
| Veranstaltungsart |
Vorlesung/Übung |
| Code |
HS241015 |
| Semester |
Herbstsemester 2024 |
| Durchführender Fachbereich |
Gesundheitswissenschaften |
| Studienstufe |
Master |
| Termin/e |
Di, 17.09.2024, 09:15 - 12:00 Uhr, 3.A05
Di, 24.09.2024, 09:15 - 12:00 Uhr, 3.A05
Di, 01.10.2024, 09:15 - 12:00 Uhr, 3.A05
Di, 08.10.2024, 09:15 - 12:00 Uhr, 3.A05
Di, 22.10.2024, 09:15 - 12:00 Uhr, 3.A05
Di, 05.11.2024, 09:15 - 12:00 Uhr, 3.A05
Di, 12.11.2024, 09:15 - 12:00 Uhr, 3.A05
Di, 19.11.2024, 09:15 - 12:00 Uhr, 3.A05
Di, 26.11.2024, 09:15 - 12:00 Uhr, 3.A05
Di, 03.12.2024, 09:15 - 12:00 Uhr, 3.A05
Di, 10.12.2024, 09:15 - 12:00 Uhr, 3.A05
Di, 17.12.2024, 09:15 - 12:00 Uhr, 3.A05 |
| Umfang |
4 Semesterwochenstunden |
| Inhalt |
The course introduces key methods used in applied health economic and policy research. Theoretical and empirical approaches will be discussed to study specific phenomena, with a focus on quantitative methods and the use of appropriate research designs to inform the questions of interest. Topics include describing and summarizing health data, the demand for health and health care, socioeconomic inequalities in health, public opinions on health and social policies, the dynamics of health and healthcare utilization, and the empirical evaluation of public policy interventions, such as smoking bans, disability insurance, cost-sharing in health insurance, self-dispensation of physicians, and the financing of inpatient care. |
| Lernziele |
The course has three main objectives:
(i) to learn and practice the methodology needed to conduct applied research in
health economics and health policy;
(ii) to apply theoretical and empirical approaches to study the healthcare market
and to evaluate public policy interventions;
(iii) to discuss and critically assess current research in the field.
The course focuses on applied econometric tools, i.e., the management and use of real data will
be an integral part of the learning experience. Please make sure that you have Stata installed
on your computer, as we will go through various data examples to practice the material. The
current license can be obtained from the university's IT (helpdesk@unilu.ch). |
| Voraussetzungen |
Students are assumed to be familiar with basic statistics, including probability theory; for a
refresher, see Appendices A, B, and C in Wooldridge (2019). Students should have a basic
knowledge of regression, and I assume familiarity with Stata (basic syntax). |
| Sprache |
Englisch |
| Anmeldung |
https://elearning.hsm-unilu.ch/course/view.php?id=784
|
| Prüfung |
Empirical homework assignment |
| Abschlussform / Credits |
Empirical homework assignment / 6 Credits
|
| Hinweise |
Teaching methods:
Blended learning with lectures, tutorials, and in-class presentations |
| Hörer-/innen |
Ja |
| Kontakt |
stefan.boes@unilu.ch |
| Material |
Slides, scientific articles, selected book chapters, data and software code
All teaching material will be provided via the e-learning platform moodle |