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.

Objectives

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.

Faculty

John Cawley (Cornell University, United States), Titus Galama (University of Southern California, United States & Erasmus University Rotterdam), Owen O’ Donnell (Erasmus University Rotterdam & Tinbergen Institute) and Tom van Ourti (Erasmus University Rotterdam & Tinbergen Institute). 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.

Format

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.

Timetable:

Monday 9.00-17.00 Evening: Assignment
Tuesday 9.00-17.00
Wednesday 9.00-17.00 Evening: Social Event and Dinner
Thursday 9.00-15.00 15.00 – : work on assignment
Friday 9.00-15.30 15.30 – 16.30: Farewell drinks

Prerequisites

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.

Questions? Contact

Hélène Molenaar