Syllabus
The course is held ONLINE. https://teams.microsoft.com/l/meetup-join/19%3ameeting_OWRkODE0NjgtZDk0Ni00OWFjLTgyMTktZWRjM2U1NzExZjRi%40thread.v2/0?context=%7b%22Tid%22%3a%2273844aaf-f10c-4dee-aaaf-5eeb27962a5d%22%2c%22Oid%22%3a%2237c0078c-81c7-4d4a-8651-e2ef56c595ba%22%7d
There are no classes on October 27 and November 17.
Expected dates for STATA sessions: November 3, November 10, November 14, December 1, December 8
Prospective course syllabus: 1. Introduction
- Identification strategies
- Data and measurement issues 2. Limited dependent variable models
- Linear probability models
- Logit and Probit models 3. Count data and duration models
- Censored and truncated models
- Two-part models 4. Casual effect methods (introduction)
- difference-in-differences estimation
- instrumental variable estimation 5. Spatial models
Annotation
The course introduces a number of econometric methods designed to study the behavior of economic agents with a specific focus on topics in applied health economics. For each model, the presentation of theoretical issues will be complemented by critical discussion and applications to a selection of case studies from recent applied health economics research.