Workshop description:
Causal inference Part II is a 4-day workshop in design based causal inference series. It will cover difference-in-differences starting from the basics and taking readers into more contemporary design elements with staggered adoption and the incorporation of covariates. Each day is 8 hours with 15 minute breaks on the hour plus an hour for lunch. We will review the theory behind each design, go into detail on the intuition of the estimation strategies and identification itself, as well as explore code in R and Stata and applications using these methods. The goal as always is that participants leave the workshop with competency and confidence. This class will be a sequel to the 4-day workshop on Causal Inference Part I and is followed by Causal Inference Part III.
Daily Structure:
This is a 4-day workshop. The goal of the workshop is for students to gain enough knowledge from the lectures and experience from the programming activities that they become confident and capable enough to implement and interpret these methods in their own work, as well as continue to learn this new material on their own after the workshop concludes. Each day lasts 8 hours with lectures and “coding together” sessions.
About the instructor:
Scott Cunningham is a professor of economics at Baylor University in Waco Texas. He has published in economics outlets such as The Review of Economic Studies, Journal of Urban Economics, Journal of Human Resources, Journal of Public Economics, Journal of Development Economics and more. He is the author of Causal Inference: the Mixtape published by Yale University Press in 2021 and co-editor of The Handbook on the Economics of Prostitution (with Manisha Shah) published by Oxford University Press in 2016. His research focus covers a range of applied topics in health and labor, including sex work, abortion, drug policy and mental healthcare. He has taught dozens of in-person and online workshops on causal inference and difference-in-differences to universities and firms across the world including Facebook, HP, University of Oxford, London School of Economics, University of Pennsylvania and many more.
International and Student Pricing:
Email causalinf@mixtape.consulting for student and international pricing.
