« March 2010 | Main | May 2010 »
April
Master of Health Science (MHS) in Health Economics: Johns Hopkins Bloomberg School of Public Health
Location: Baltimore, Maryland, USA
The MHS in Health Economics http://www.jhsph.edu/dept/ih/globalhealthdegrees/healtheconomics/index.html will provide students with a solid foundation in general health economics and evaluation methods necessary to promote the efficient and equitable allocation of health care resources in public health and to identify relevant regulatory policies, strategies and interventions. Such methods are important in designing and assessing preventive and curative services, and are relevant to health care systems around the globe. Graduates will be well positioned to pursue doctoral training in economics and health policy or careers as analysts in both the public and private sector.
This MHS is offered jointly by the departments of International Health http://www.jhsph.edu/dept/ih/index.html and Health Policy and Management http://www.jhsph.edu/dept/hpm/index.html . Prospective students apply to one of the two departments based on academic and career interests. However, students from both departments participate in a common core of classes spanning health economics, economic evaluation, econometrics, statistics and epidemiology. Students have an opportunity to specialize, based on interests and experience, by choosing from elective courses that focus on U.S. or non-U.S. settings.
April
Applied Welfare Analysis in Health
Location: Berne, Switzerland
Date: April 19 to 23, 2010
Registration: Online until 31 March 2010
Prof. Alistair McGuire (LSE), Dr. Mireia Jofre-Bonet (London City University)
Presentation:
Welfare economics concerns the means by which the desirability of different policy options can be judged, and provides the theoretical foundations for the economic evaluation techniques currently widely used in policy making. The aim of this module is to revise the subject of welfare economics and extend it to incorporate recent advances in this topic.
Objectives:
This course will provide an overview of the concepts that are essential for the understanding of the theoretical underpinnings of welfare economics. It will also show how the different approaches are applied empirically. By the end of the course, you will be familiar with what social welfare functions are and how welfare changes and the distributional implications associated to health care interventions are measured - including when there are no markets and/or prices for the goods and/or services involved. You will be able to apply and understand evaluation techniques such as cost-effectiveness and cost-utility analysis, cost-benefit analysis and establish when recommendations emerging from those analyses are associated with gains in the social welfare function. You will be acquainted with the different outcome measures as used in the health sector (Quality Adjusted Life Years, Disability Life Years, Health-Years Equivalents); the properties of the contingent valuation approach; the conjoint/stated preference analysis approach; and estimation approaches for the marginal social cost of funds. Finally, expected utility theory, decision theory, and optimal taxation will be examined in the light of cost-effectiveness analysis and welfare economics.
Registration:
Online until 31 March 2010, phdcourses.hep@unil.ch
Course homepage:
http://www.ssphplus.ch/phdcourses-hep
April
Methods for the analysis of panel data in health and health care:Hosted by the Health, Econometrics and Data Group (HEDG)
Location: York, UK
Dates: 20th-22nd April 2010
3 day computer-based course hosted by the Health, Econometrics and Data Group (HEDG), University of York, 20th-22nd April 2010
This is a three-day course focusing on the use of applied quantitative methods for the analysis of panel data encountered in health and health care. The course is run by the Health, Econometrics and Data Group, a collaboration between the Centre for Health Economics and the Department of Economics and Related Studies at the University of York.
The course is aimed at PhD students and junior researchers or policy makers working in applied health economics.
The course will explain applied health economics methods relevant to the analysis of panel data obtained from administrative or observational sources. Topics to be covered will include an introduction to panel data techniques including linear models and fixed and random effects; instrumental variables; non-linear panel data models; dynamic models; discrete-time duration models. Throughout the course, computer-based practical exercises will be used to show how these methods can be applied using the statistical package Stata.
The aims of the course are to introduce young professionals to the main techniques used in applied health economics, and to provide practical experience with the application of such techniques. By the end of the course, participants should be able to:
- formulate empirical problems involving longitudinal micro-data on health and health care
- select appropriate econometric methods
- understand methods of estimation and be able to implement them, using appropriate software
- interpret the results of the analysis
Course content
The course will cover topics relevant to the analysis of health and health care data. Sessions will be split between lectures and computer-based practicals.
The course will be held in the EXEC/computer-training lab in the Alcuin Research Resource Centre (ARRC: http://www.york.ac.uk/inst/arrc/). The software package used for the practical examples is Stata and each participant will have access to a PC with Stata 10 installed. Stata do-files containing the code required to complete the practical exercises will be provided. A basic familiarisation with Stata will be an advantage. Further information on Stata can be found at: http://www/stata.com/
Data sources relevant to the practical exercises will be provided.
The programme
The course will be provided by members of HEDG: Andrew Jones, Nigel Rice, Silvana Robone, Pedro Rosa-Dias and Eugenio Zucchelli.
Online registration will be available shortly: http://www.york.ac.uk/res/herc/research/hedg/index.htm
The Health, Econometrics and Data Group is supported by funding from the Economic and Social Research Council under the grant RES-060-25-0045.