Educational Videos

This page lists the various series available on my YouTube channel. Feel free to subscribe! There are also a few one-off videos that are not a part of series on the channel.

These video series are intended to accompany my Principles of Microeconomics course.

The first half of this playlist is lectures from my course, delivered straight to camera, and edited. The content is a bit outdated, and some changes have made to my current course, but maybe you prefer these! The second half of the playlist is shorter edited videos intended more as supplementary material.

These series are focused more on coding, generally in either R or Stata, with a touch of Python in there as well.

This series of videos will serve as an introduction to the R statistics language, targeted at economists. It’s a bit outdated and refers to several packages that I no longer use, like plm. There are some additional updated videos at the end of the playlist.

These series cover econometrics and causality, with coverage of research design and estimation.

This series follows my book The Effect, with videos going into detail and clear explanation on each chapter.

This series is videos related to (and from) my applied econometrics course, and follow along with the content in that course.

This describes the very simple steps for creating some very nice-looking tables for your research papers. It uses Stata to create the tables in the first place, but these steps could just as easily follow from a Stargazer output in R, or something else entirely. I won’t claim this is the only way to do it, but this is quick, easy, and always looks good!

The birth of a thousand internet comments, the Monty Hall Problem does actually have a single correct solution (assuming it was described correctly - if they forgot to mention that Monty knows where the car is it is indeed 50:50!). This video has nine different explanations to provide an intuitive understanding of this strange result.

Error messages! They are a constant part of trying to code. But too many students come up against one and have no idea what to do, or how to progress! But error messages are at least

Not an intuitive process, interpreting those regression coefficients. But there’s a sly logic to them. This is an easily re-watchable video you can return to whenever you want to know about how to interpret a regression coefficient

Interactions are consistently the most squirrely and hard-to-handle parts of the standard undergraduate econometrics toolbox. But they’re really straightforward, you just have to slow down and think about them, walk through it. This video will show you how.