Date: June 25-29, 2018 Where: Rotterdam
This course will arm you with tools to measure health inequality. It will also make you familiar with models developed to explain socioeconomic disparities in health and competent in empirical methods used to estimate socioeconomic determinants of health.
The course is targeted at economists embarking on research on population health, as well as at researchers from the field of public health wishing to become competent in techniques employed by economists to measure and explain health inequality.
To attain competence in:
- normative evaluation and measurement of health inequality;
- computation of health inequality indices;
- decomposition of health inequality;
- economic models of health behaviour;
- empirical identification of causes of health inequality.
John Cawley (Cornell & EUR), Titus Galama (USC & EUR), Owen O’ Donnell (TI & EUR) and Tom van Ourti (TI & EUR). All instructors are affiliated to the Health Economics section in the Erasmus School of Economics. Visiting Professor John Cawley is also co-director of Cornell’s Institute on Health Economics, Health Behaviors and Disparities. Visiting Professor Titus Galama is director of the Center for the Study of Health Inequality (CSHI) at the University of Southern California.
Lectures, seminar discussions and hands-on application in computing sessions. Example STATA® do-files will be provided. You will complete an assignment during the week and present results on the final afternoon. The tentative course outline can be found here.
You should have done an intermediate course in statistics, be familiar with regression analysis and preferably have completed at least an intermediate course in microeconomics. If you have a public health background, then you should be comfortable with quantitative analysis and be competent in statistics and basic calculus. Familiarity with the statistical package STATA® is an advantage. Admission requirements will be listed here shortly.
3 ECTS (with completion of assessment)