Applied Health Economics and Econometrics

Dozent/in	Prof. Dr. Stefan Boes
Veranstaltungsart	Vorlesung/Übung
Code	HS231192
Semester	Herbstsemester 2023
Durchführender Fachbereich	Gesundheitswissenschaften
Studienstufe	Master
Termin/e	Do, 21.09.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 28.09.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 05.10.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 12.10.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 19.10.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 26.10.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 09.11.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 16.11.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 23.11.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 30.11.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 07.12.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 14.12.2023, 09:15 - 12:00 Uhr, 4.B54 Do, 21.12.2023, 09:15 - 12:00 Uhr, 4.B54 Di, 23.01.2024, 14:00 - 15:30 Uhr, HS 9 (Prüfung)
Umfang	4 Semesterwochenstunden
Inhalt	The course introduces key methods used in applied health economic and policy research. Starting from a specific challenge or issue in the health system, theoretical and empirical approaches will be discussed to study the underlying phenomena, with a focus on quantitative research and the use of appropriate study designs to inform the questions of interest. Topics include describing and summarizing health data, the analysis of the demand for health care, socio-economic inequalities in health and related behaviors, public opinions on health and social policies, modeling of the dynamics of health and insurance decisions, and the empirical evaluation of public policy interventions, such as smoking bans, changes in the eligibility for disability insurance, cost-sharing in health insurance, self-dispensation of physicians and supplier-induced demand, and the financing of inpatient care.
Lernziele	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 health care market and to evaluate public health interventions, iii) to discuss and critically assess current research in the field.
Voraussetzungen	Grade 4.0 or better
Sprache	Englisch
Anmeldung	https://elearning.hsm-unilu.ch/course/view.php?id=657
Prüfung	Written examination (50%) and homework assignment (50%)
Abschlussform / Credits	Written examination (50%) and homework assignment (50%) / 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