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Causal Inference in Econometrics - Online Course

A 4-Week On-Demand Seminar Taught by

Nick Huntington-Klein
Course Dates: Ask about upcoming dates

Each Monday you will receive an email with instructions for the following week.

All course materials are available 24 hours a day. Materials will be accessible for an additional 2 weeks after the official close on September 25.

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Econometrics is a broad category of data analysis that focuses on trying to use data to understand how the world works, even in cases where you can’t run an experiment. This course offers a survey of econometrics. It begins with a brief review of regression, but mostly focuses on research design in econometrics and methods commonly used to estimate causal effects, including fixed effects, difference-in-differences, instrumental variables, and regression discontinuity. The seminar puts an emphasis on practical understanding and use of these concepts, as opposed to statistical proofs.

The course takes place online in a series of four weekly installments of videos, readings, and exercises, and requires about 6-8 hours/week. You may participate at your own convenience; there are no set times when you are required to be online.

This four-week course can be accessed with any recent web browser on almost any platform, including iPhone, iPad, and Android devices. It consists of several modules, which contain videos of the 4-day livestream version of the course in its entirety. There are also weekly exercises that ask you to apply what you’ve learned to a real data set.

There is also an online discussion forum where you can post questions or comments about any aspect of the course. All questions will be promptly answered by Dr. Huntington-Klein.

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“Great instruction!"

“Great instruction! The slides were easy to follow, and the instructor used good examples to explain the material.”

Peter Simonsson

Temple University

“Nick is passionate, completely on top of his subject..."

“Nick is passionate, completely on top of his subject, and introduced material I had not seen before.”

Rod Ling

Hunter Medical Research Institute

“The instructor was engaging..."

“The instructor was engaging and he explained some of the concepts that I was confused about quite clearly.”

Quang Nguyễn

Kirby Institute