Apologies for cross posting
**Mixing econometrics and epidemiology: does it make sense to apply
econometric treatment effects in public health?**
9th March, Imperial College, St Mary's Campus
The econometric literature covers many approaches to identifying the
causal effect of some treatment. These are not only limited to average
effects but explore a number of alternatives. Typically in public health
the effect estimate of interest is the average treatment effect (ATE)
and little research has gone into exploring methods that allow for
alternative measures of causal effect. The aim of the seminar is to
explore the potential for using econometric causal theory in the context
of public health and epidemiology.
**Schedule**
11:15-11:30 Sara Geneletti (Imperial College)
- Introduction to the meeting
11:30-12:30 Lorraine Dearden (Institute of Education)
-Evaluation methods in Economics and their possible application to
Epidemiology
12:30-13:30 *lunch*
-13:30-14:05 Philip Dawid (Cambridge)
Beware of the DAG!
14:05-14:40 Gianluca Baio (University College London/University of
Milano Bicocca)
- Mixing Econometrics and Epidemiology: the perfect job for Health
Economics?
14:40-15:15 Frank Windmeijer (Bristol)
-SMM estimation with binary outcomes
15:15-15:30 *break*
15:30-16:05 Nuala Sheehan (Leicester)
-Mendelian randomisation and causal inference in epidemiology
16:05-16:35 -general discussion*
ABSTRACT can be found on the BIAS project website at
www.bias-project.org
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