Causal Inference I  - Starting September 27th

Scott Cunningham is the author of Causal Inference: the Mixtape.

Scott Cunningham, Mixtape Sessions

Causal Inference I. September 27th and 28th and October 4th and 5th
Full Schedule: https://www.mixtapesessions.io/session/ci_I_sept27

Workshop description:Causal Inference Part I kickstarts a new 4-day series on design-based causal inference series. It covers the foundations of causal inference grounded in a counterfactual theory of causality built on the Neyman-Rubin model of potential outcomes. It will also cover randomization inference, independence, matching, regression discontinuity and instrumental variables. We will review the theory behind each of these designs in detail with the aim being comprehension, competency and confidence. Each day is 8 hours with 15 minute breaks on the hour plus an hour for lunch. To help accomplish this, we will hold ongoing discussions via Discourse, work through assignments and exercises together, and have detailed walk-throughs of code in R and Stata. This is the prequel to the Part II course that covers difference-in-differences and synthetic control.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.

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

Causal Inference I - Starting September 27th

More events from Scott Cunningham, Mixtape Sessions

Discover more events from Scott Cunningham, Mixtape Sessions, from Science & Tech to other experiences you might love.

Still looking for the right event?

Explore all online events to browse and filter by date, category, and more.

Causal Inference I - Starting September 27th

More events from Scott Cunningham, Mixtape Sessions

Discover more events from Scott Cunningham, Mixtape Sessions, from Science & Tech to other experiences you might love.

More Science & Tech events

Browse more Science & Tech events with different dates, prices, and formats to find your next great experience.

Still looking for the right event?

Explore all online events to browse and filter by date, category, and more.