Information détaillée concernant le cours
31 May - 1 June 2021
|Lang||Workshop language is English|
Florian Foos, London School of Economics & Political Science
Information: "Correlation is not causation". You must have heard this warning many times. But, what thenis causation, and how can we identify the causal eect of political messages, policies or programmes? Thismodule introduces students to the ideal of the randomized experiment, and other common methods of causal
Prerequisites: The only pre-requisite is any course covering linear regression. There is relatively little assumed knowledge, and the aim is to build the statistical foundations from the ground up. If you have conducted a hypothesis test of any kind, you probably have the requisite skills.
Learning Outcomes: Participants will understand the potential outcomes framework, and the key assump-tions underlying causal inference, and will be able to choose appropriate methods for a variety of researchquestions posing dierent identication challenges. Moreover, they will gain the practical skills of applying
Required textbook: Cunningham, Scott. Causal Inference: The Mixtape, Yale University Press, 2020.
Software: Participants will have a choice between using R (demonstration in class) and Stata (code will be