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April 20, 2010
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.
