Matching Methods for Causal Inference
Date:
15/06/2021
Organised by:
LSE
Presenter:
Dr Juraj Medzihorsky
Level:
Intermediate (some prior knowledge)
Contact:
Camilya Maleh
methodology.research@lse.ac.uk
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 (at the level of MY452 or equivalent)
Cost:
£30
Website and registration:
https://eshop.lse.ac.uk/product-catalogue/methodology
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