Matching Methods for Causal Inference
Date:
09/02/2016
Organised by:
London School of Economics and Political Science
Presenter:
Dr Dominik Hangartner
Level:
Intermediate (some prior knowledge)
Contact:
Nina McCullagh (methodology.admin@lse.ac.uk)
Map:
View in Google Maps (WC2A 2AE)
Venue:
PhD Academy
Level 4, Lionel Robbins Library Building
10 Portugal Street
London School of Economics and Political Science
Description:
The workshop will be taking place on Tuesday 9 February with a lecture from 10am - 12pm and a practical session from 2pm - 4pm.
After a quick introduction to the potential outcomes framework and a revision of the logic of randomized experiments, we will discuss different matching estimators (propensity score matching, matching on the Mahalanobis distance) and the underlying assumptions that are necessary to obtain causal effects from observational (i.e. non-randomized) studies. All the methods covered in the lectures will be applied in the lab session. All students are welcome to attend, although participants will get the most out of the lecture and lab if they have some prior knowledge of linear regression.
Cost:
£30
Website and registration:
http://eshop.lse.ac.uk/browse/extra_info.asp?compid=1&modid=1&catid=311&prodid=1716
Region:
Greater London
Keywords:
Propensity score matching, Causal Effects , Matching Estimators
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