• Starting September 27th
Instrumental variables (IV) is a powerful tool for leveraging external ("exogenous") variation to estimate the causal effects of otherwise confounded ("endogenous") variables. This two-day workshop will introduce the basics of IV through different practical examples, formalize the requirements of a valid and powerful IV, and discuss the mechanics of the two-stage least squares (2SLS) estimator. Special focus will be paid on interpreting linear IV under heterogeneous treatment effects and recent advances in judge leniency designs. The course will include substantial group programming exercises, where different IV techniques will be illustrated in real-world applications.
Sign-up today to ensure access to this workshop.
Using your Saturday to get a world-class tutorial in instrumental variables that would cost many thousands of dollars (or hours of RA work) to get otherwise is a pretty good deal. Peter is super clear and clearly prepared really well for the workshop, with great materials and interesting simulations and applications.
The course is very organized and gives a comprehensive overview of IV designs and its recent advances. Peter is very kind and seems to be truly interested in making students understand the lessons. I strongly recommend the IV Mixtape session for anyone interested in enhancing knowledge about IV by getting to know practical applications and learning by coding.
This workshop was expertly run. The exposure to a really amazing instructor in Peter Hull was valuable in and of itself. The lectures were well prepared, lots of helpful readings and lecture notes were provided. I came away having learning more about IV and feel more confident about how IV works, in theory and practice.
Yes! Students, postdocs, predocs and residents of middle-income countries can attend for $50 plus a few dollars in fees. To receive your promo code, please include a photo of your student ID. International folks from low-income countries can attend for $1. To receive promo codes, email us at firstname.lastname@example.org.
The course material will be availabe forever on Github. We will also send you links to the video recordings on Vimeo after the workshop is completed.
That’s a great question. Causal inference, and econometrics more generally, is largely a “returns to experience” type of skill as much as it is a returns to education. The best way for you to learn anything in these classes is to work on projects that require it. Our class is designed as a fast track to both.
Yes, we will have 15 min breaks on the hour, plus a one hour break mid-day for lunch.
Yes, I will distribute assignments with readings with directions the night before. We will then do these together in a coding lab that lasts approximately 75 minutes. I will do the assignments too in real time coding so that you can see how I approach these things. We will help each other in Discord, asking questions, pointing out mistakes I’m making, and helping one another problem solve. I will usually assign more than we can do that faster workers always have something to work on. And in the end, I will distribute the solutions. It’ll be fun I promise!
We will upload recordings to Vimeo and they will be password protected, so that only attendees can watch the videos.
Don’t be. I’m a good teacher. If I can learn this, so can you.