Advanced DID

• Starting September 1st, 2023

This one-day workshop will cover advanced topics from the recent difference-in-differences literature. One question of particular focus will be, "what should I do if I'm not 100% sure about the validity of the parallel trends assumption?" We will cover a variety of relaxations to the parallel trends assumption, and new tools for power calculations and sensitivity analysis. The workshop will focus not just on the theory, but also on practical implementation in statistical software such as R and Stata.

This is one of our advanced courses. These courses are designed assuming a solid foundation in the basics of the difference-in-differences methodology and will cover the frontiers of the topic. A good review is: https://github.com/Mixtape-Sessions/Causal-Inference-2.

All course material is available free and open source via our Github Repository .

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WHAT'S INCLUDED

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

$595 USD + Fees

Buy Your Ticket

$50 for Students • $95 for Non Tenure-track Faculty • $1 for Low-income Countries

Our workshop will bring you to the cutting edge

September 1st

Day 1 • 10am-5pm EST

Canonical Difference-in-Differences
Staggered Treatment Timing
Violations of Pre-Trends

Who will be hosting this session?

Jonathan Roth is an assistant professor in the economics department at Brown University. His primary research interests are in econometrics, with a focus on causal inference. He has also worked on topics in labor economics, machine learning, and algorithmic fairness. He was previously a senior researcher in the Office of the Chief Economist at Microsoft. He received my PhD in economics in 2020 from Harvard, where He was awarded the David A. Wells prize for best dissertation. He obtained a BA summa cum laude in mathematics and economics from the University of Pennsylvania.

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. Non-tenure track faculty can attend for $95. 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 we practice programming?: Yes, I will distribute assignments with readings with directions the night before. 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.
How will I communicate to you during the workshop?: We will use Discord to communicate with one another. I will have a second monitor open so that I can see what you say. My experience has been positive with this kind of setup. Many people seem willing to talk by chat in ways they wouldn't verbally. Also participants tend to not think they are interrupting the speaker when they ask questions.
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.
How should I prepare?: I encourage you to read my book, Causal Inference: The Mixtape which is available online for free here. Whenever possible, then read the underlying articles that interest you to go deeper.
I don't have a Stata license. It's too expensive. What do I do?: No worries! Stata has graciously provided a temporary license for all participants. Before the workshop starts, I will distribute to all of you your license so that you can have it.