Matching Methods for Causal Inference

Organised by

LSE

Presenter

Dr Juraj Medzihorsky

Date

15/06/2021

Venue

Houghton Street

Map

View in Google Maps  (WC2A 2AE)

Contact

Camilya Maleh
methodology.research@lse.ac.uk

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)

Level

Intermediate (some prior knowledge)

Cost

£30

Website and registration

Region

Greater London

Keywords

Quantitative Approaches (other), Mixed Methods Data Handling and Data Analysis, Research Ethics, Causal Inference

Related publications and presentations

Quantitative Approaches (other)
Mixed Methods Data Handling and Data Analysis
Research Ethics

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