ben h. williams professor of economics
baylor university
I am the Ben H. Williams Professor of Economics at Baylor University. I study topics including mental health care, sex work, artificial intelligence, abortion, violence, and drug policy. I live in Waco, Texas, and will be a visiting professor in the Government department at Harvard University during the 2025–2026 academic year.
Curious about my career? Here’s an AI-generated podcast based on my CV, created to help friends and family better understand what I do.
An expanded, fully revised edition of a leading econometrics text, offering deeper coverage, new methods, and accessible guidance on the core tools of causal inference
Causal inference―a cornerstone of statistics and the social sciences, particularly economics―helps us determine whether one event truly causes another.
The Remix expands on Scott Cunningham's widely used Causal Inference: The Mixtape, providing a strong foundation in econometrics through accessible explanations of key design-based methods: unconfoundedness approaches, instrumental variables, regression discontinuity, and advanced panel techniques such as fixed effects, difference-in-differences, and synthetic control.
This new edition adds major updates, including an extended treatment of difference-in-differences―from core concepts to advanced topics like staggered adoption and covariate adjustment―as well as fuller discussions of synthetic control, more empirical examples, and clearer pathways for readers to engage with cutting-edge methods.
Written in a conversational, encouraging style, the book welcomes readers of all levels, offering breadcrumbs that connect concepts and deepen understanding. Whether you are new to causal inference or seeking to refine your tool kit, The Remix serves as both companion and manual for mastering the field's central principles and methods.
Buy the print version today:
It's here! Causal Inference: The Remix — the sequel to The Mixtape is in production with Yale University Press! If you're looking for the first edition, it is hosted online here: https://mixtape-1ed.netlify.app/
News: I write explainers and other things on my Substack: Scott's Substack. I also host a podcast entitled The Mixtape with Scott which you can find on platforms like Spotify and others too.
I regularly host workshops on causal inference for departments, industry and government agencies. I also provide both a multi-day workshop on the quantitative methods for causal inference (based on my book), which can include a relatively contemporary and up-to-date treatment of difference-in-differences design (including differential timing). For those interested, check out my Mixtape Sessions page where you can learn about upcoming workshops taught by me or others. But if you would like to talk to me about speaking or teaching a workshop, just email me.
Contact information:
One Bear Place #98003