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Nick Huntington-Klein

Nick Huntington-Klein, Ph.D., is Assistant Professor of Economics at Seattle University whose research focuses on causality, metascience, applied econometrics, and higher education policy.

Huntington-Klein has a strong history of being an effective teacher of causal inference methods and econometrics. He is best-known for his teaching materials on causal inference, which are widely shared and used.

Nick Huntington-Klein received his Ph.D. in Economics from the University of Washington, and is an assistant professor at Seattle University. His early work focused on quantitative analysis of education policy, and has had effects on admissions standards, teacher hiring practices, and full course-load policy at different institutions. In recent years his focus has shifted to applied econometrics, the quality of social science research, and the development of tools and materials for research and teaching.

His work has been published in the Journal of Economic Behavior and OrganizationEconomic Inquiry, the Journal of Causal Inference, and Research in Higher Education, among others, and he has contributed 11 software packages of tools for researchers across three languages. His teaching materials are widely shared online, and he has published two textbooks: A Step-by-Step Guide to the Principles of Microeconomics, and the introductory causal inference textbook The Effect.

You can visit his personal webpage here.

Google Scholar Citation Page

Nick's Seminars
On-Demand

Causal Inference in Econometrics

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...

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Livestream

Causal Inference in Econometrics

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...

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Livestream

Difference in Differences

In this course, we will address the fundamentals of difference-in-differences methods in depth, with special attention to the many details of execution. We will also evaluate several published studies. Participants will be much more able to understand and use existing...

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