« Call for Nominations: Global Health Leadership Forum 2010 | Main | Health Economics of Pharmaceuticals and Other Medical Interventions: The European School of Health Economics »
January 11, 2010
Methods for the analysis of categorical dependent variables: University Of York
Location: York, UK
Dates: 11th-12th January 2010
Presented by Prof. Bill Greene Stern School of Business, New York University
Hosted by the Health, Econometrics and Data Group (HEDG), Centre for Health Economics and Department of Economics and Related Studies University of York, 11th-12th January 2010
A two-day course focusing on the use of categorical dependent variables with wide applicability to research in health economics. The course will be delivered by Professor Bill Greene, a world-renowned expert in micro-econometrics and the analysis of categorical variables.
The course is aimed at PhD students and researchers or policy makers working in applied health economics. It will introduce participants to for categorical dependent variables with a focus on established and recently developed techniques. The course will cover continuous choice models, binary choice, and models for ordered and unordered choice. Appropriate terminology and formal methodology for estimating these models will be presented together with extensions to cover panel data, partialeffects and recent developments in the field. The focus will be on introducing the fundamental principles and terminology encountered in the literature.
The aims of the course are to introduce research professionals to the main techniques used in the analysis of individual choice. By the end of the course, participants should be able to:
- Appreciate different approaches to modelling individual choice
- Select appropriate methods for empirical estimation
- Develop an understanding of methods for estimation and inference
- Interpret results from analyses
Course content
The course will cover topics relevant to the analysis of health and health care data.
More information and a registration form can be found here.
