Matching Methods for Causal Inference
Date:
25/02/2019
Organised by:
London School of Economics and Political Science
Presenter:
Dr David Hendry
Level:
Entry (no or almost no prior knowledge)
Contact:
Anna Izdebska, 02079556947, methodology.admin@lse.ac.uk
Map:
View in Google Maps (WC2A 2HD)
Venue:
LSE PhD Academy, Lionel Robbins Building (4th floor), 10 Portugal Street, London, WC2A 2HD
Description:
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 (at the level of MY452 or equivalent).
Cost:
£30
Website and registration:
Region:
Greater London
Keywords:
Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference
Related publications and presentations:
Quantitative Data Handling and Data Analysis
Statistical Theory and Methods of Inference