Shift-Share IV

Prof. Peter Hull

Starting Nov 2nd

Shift-Share Instrumental Variables (SSIV) are used to address endogeneity and selection challenges in many economic settings. This half-day workshop will introduce the basics of SSIV and cover the recent literature on its econometric foundations. Special focus will be paid on the different assumptions underlying the "exogenous shares" and "exogenous shocks" approaches to SSIV identification, and their practical implications. We will also cover a more general class of instrumental variable strategies combining exogenous shocks and non-random exposure. Group programming exercises will be used to illustrate various theoretical concepts in real-world applications.

Register Today

Sign-up today to ensure access to this workshop.

WHAT'S INCLUDED

  • Attendance to the workshop with Prof. Peter Hull.
  • PDF lecture slides and video recordings for later reference.
  • Complete set of example code to implement the methods discussed.

Our workshop will bring you to the cutting edge

Nov 2nd

Day 1 6pm-9pm EST

  1. Introducing Shift-Share IV: Recent Applications
  2. The 'Exogenous Shares' Approach (Goldsmith-Pinkham et al. 2020)
  3. The 'Exogenous Shocks' Approach (Borusyak et al., 2022)

Nov 3rd

Day 2 6pm-9pm EST

  1. The 'Exogenous Shocks' Approach (Borusyak et al., 2022)
  2. Practical Implications from Exogenous Shares vs. Shocks
  3. Beyond SSIV: Non-Random Exposure to Exogenous Shocks (Borusyak and Hull, 2022)
  4. Coding Lab

Who will be hosting this session?

Prof. Peter Hull
Peter Hull is the Groos Family Assistant Professor of Economics at Brown Univeristy and a Faculty Research Fellow at the National Bureau of Economic Research. He has published papers on topics in applied econometrics, education, healthcare, and criminal justice, in outlets such as the American Economic Review, the Quarterly Journal of Economics, the Review of Economic Studies, and the New England Journal of Medicine. His research is focused on developing and applying new instrumental variable methods to measure the quality of institutions, such as schools or hospitals, as well as discrimination and bias in human and algorithmic decision-making. Prior to Brown, Professor Hull taught at the Kenneth C. Griffin Department of Economics at the University of Chicago and worked at Microsoft Research and the Federal Reserve Bank of New York. He earned his PhD in economics from MIT in 2017, under 2021 Nobel Laureate Josh Angrist.
  • 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.

Frequently Asked Questions

Are discounts available?

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 causalinf@mixtape.consulting.

How do I access the material I need for the course?

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.

How long will it take me to master this?

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.

Will there be breaks?

Yes, we will have 15 min breaks on the hour, plus a one hour break mid-day for lunch.

Will we practice programming?

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!

Will there be recordings?

We will upload recordings to Vimeo and they will be password protected, so that only attendees can watch the videos.

I’m nervous that I can’t handle the difficulty of the class.

Don’t be. I’m a good teacher. If I can learn this, so can you.