Matching Methods for Causal Inference

Date:

15/06/2021

Organised by:

London School of Economics and Political Science

Presenter:

Dr Juraj Medzihorsky

Level:

Intermediate (some prior knowledge)

Contact:

Camilya Maleh
methodology.research@lse.ac.uk

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Venue: Online

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.

Cost:

£30

Website and registration:

Region:

Greater London

Keywords:

Statistical Theory and Methods of Inference

Related publications and presentations:

Statistical Theory and Methods of Inference

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