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June 18, 2007
Inequalities in Health and Health Care
Location: Geneva, Switzerland
Dates: 18-23 June 2007
Venue: University of Geneva
Lecturers:
- Prof. Eddy van Doorslaer (Erasmus University, Rotterdam, Netherlands)
- Dr Owen O’Donnell (University of Macedonia, Thessaloniki, Greece)
Description: This course is intended for PhD students and other junior researchers interested in the quantitative analysis of inequality and inequity in health and health care. The course consists of five days of lectures and tutorials on a number of topics related to the measurement and explanation of inequities/inequalities in health. Apart from providing a general introduction into the range of approaches available to researchers, it will also provide practical experience of computation using Stata. Illustrations will be based on real-world examples drawn from evidence in European and other OECD countries, as well as developing countries.
Objectives:
- To review health economics approaches to the measurement of inequality and inequity (most of which were developed in the context of the European ECuity Project)
- To provide detailed guidance on computational procedures using Stata
- To provide hands-on experience with computation-based exercises
Course text:
- O. O’Donnell, E. van Doorslaer, A. Wagstaff and M. Lindelow (2007) Analysing Health Equity using Household Survey Data, Washington DC, World Bank.
Further details and application form
Dr. Gilles de Weck
Network Health Economics
HEC - Dorigny
CH-1015 Lausanne
Tel: +4121 692 33 92
Individual Choice Behavior: Theory and Application of Discrete Choice Analysis [14.61s]: MIT
Location: Cambridge, Massachusetts, USA
Dates: 18-22 June 2007
Scholarship Application deadline: 15 May 2007
3.0 CEUs
MIT Summer Course on Discrete Choice Analysis
Applications are being accepted for the following short course:
- Individual Choice Behavior: Theory and Application of Discrete Choice Analysis [14.61s]
Course Description: The course consists of an in-depth study of discrete choice models (e.g., logit, nested logit, cross nested logit, multivariate extreme value, probit, and logit mixtures) and their applications. It equips participants with information and practical tools needed to apply discrete choice techniques. Topics include behavioral theories, model formulation, data collection, estimation methods, testing and forecasting.
The course also covers advanced practical topics, such as:
- How to deal with complex choice scenarios with many alternatives.
- How to address situations with customized products and services.
- How to combine stated preferences with revealed preferences data.
- How to represent dynamic effects in discrete choice models.
- When is it appropriate to use Probit and Logit mixtures.
- How to effectively use simulation and Bayesian methods to estimate these models.
Participants gain hands-on experience by applying free software to estimate and test discrete choice models from real databases. The information and techniques taught in this course are useful for marketing researchers and analysts, economists, operations researchers, engineers, planners, managers, and researchers in industry, government or academia interested in understanding and predicting consumer choices, demand and market share.
Full details are available from the course website
Course Instructors: “Individual Choice Behavior” has been taught at MIT annually for more than 25 years. The instructors have both wide and deep formal credentials and practical experience in discrete choice modeling, including key academic contributions to the field. Lecturer-In-Charge is Moshe Ben-Akiva.
Scholarship Opportunity: We are pleased to announce the availability of full and partial tuition scholarships for junior professors, postdocs and doctoral students to attend this course.
One full-tuition and several half-tuition scholarships will be awarded. The tuition includes course materials but does not include costs associated with travel and accommodations during the course. Individuals who wish to apply for a scholarship should send a current CV (resume) plus a two page, single-spaced (maximum) letter of application via e-mail to Leanne Russell (lrussell@mit.edu). The application letter should contain the following:
- A brief introductory paragraph summarizing the information contained in the CV.
- A section entitled “My Reasons for Wanting to Attend This Course.”
- A section entitled “How This Course Will Benefit My Academic Research and/or Teaching”.
Professor Ben-Akiva will evaluate all applications, and announce the winning recipient to all applicants directly via e-mail on Friday, May 18 (Eastern Standard Time.) The application deadline is Tuesday, May 15th, 2007.