Announcing 2025 Northwestern Main and Advanced Causal Inference Workshops

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Feb 28, 2025, 12:01:14 PMFeb 28
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2025 Northwestern Main and Advanced

Causal Inference Workshops

 

[please recirculate to others who might be interested]

 

We are excited to be holding our 14th annual workshop on Research Design for Causal Inference at Northwestern Law School in Chicago, IL.  We invite you to attend.    

 

Main Workshop:  Monday – Friday, July 28 - August 1, 2025

Advanced Workshop:  Sunday – Wednesday, August 3-6, 2025

 

What’s special about these workshops are the world-class speakers, who are experts in the topics they will discuss.  See the link below for speaker details.  

 

Target audience for the workshops: Quantitative empirical researchers (including faculty, graduate students, post-docs, and other researchers) in social science, including law, political science, economics, many business-school areas (finance, accounting, management, marketing, etc.), medicine, sociology, education, psychology, etc. –anywhere that causal inference is important.

 

In person-registration is limited to 125 participants for each workshop.  There will also be a Zoom option, but come in person if you can; the online experience is not the same.   

 

For information and to register:

https://www.law.northwestern.edu/research-faculty/events/conferences/causalinference/

 

Main Workshop Outline
Monday, July 28 (Donald Rubin; Harvard University)
     Introduction to Modern Methods for Causal Inference
Tuesday, July 29 (Jens Hainmueller, Stanford University)
     Matching and Reweighting Designs for “Pure” Observational Studies

Wednesday, July 30 (Jens Hainmueller, Stanford University) 
     Panel Data and Difference-in-Differences

Thursday, July 31 (Heather Royer, UC Santa Barbara)
     Regression Discontinuity

Friday, August 1 Morning: (Tymon Sloczynski, Brandeis University)

     Instrumental variable methods

Friday, August 1 Afternoon: Feedback on your own research

 

Advanced Workshop Outline

Sunday afternoon, August 3 (optional) (Christian Hansen, Univ. of Chicago)

     Primer on machine learning approaches to prediction  

Monday, August 4:  Christian Hansen

     Applications of machine learning to causal inference

Tuesday, August 5:  Andrew Goodman-Bacon (Federal Reserve Board)

     Advanced Difference-in Differences

Wednesday, August 6:  Peter Hull (Brown University)

     Advanced Instrumental Variables

 

Stata and R coding:  On selected days after the lectures, we will run parallel Stata and R sessions to illustrate code for the research designs discussed in the lectures.  

 

Workshop Organizers

Bernie Black (Northwestern University)

Scott Cunningham (Baylor University)

 

Questions:  Please email Bernie Black (bbl...@northwestern.edu) or Scott Cunningham (scun...@gmail.com) for questions or fee waiver requests, and Sebastian Bujak (sebasti...@law.northwestern.edu) for logistics and registration questions.

 

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