Machine Learning and Data Science for Economists


December 7-10, 2020

Monday - Thursday
1:00 PM - 4:15 PM Eastern

This course aims to speak to the value of using methods from machine learning and data science for the applied business economist. The course will meet via Zoom software.  More course information

Early-Bird Registration Details*

NABE Member**: $1,300

U.S. Government Employee: $1,375

Non-Member**: $1,450

*Early-Bird Deadline: November 18, 2020

**Add an additional $75 for shipment of materials if located outside the U.S.


Or download the registration form and email to Please note: a $25 processing fee will be added if registering this way.

To be eligible for a refund less $50 fee, registration cancellation must be received in writing by November 18, 2020.  Questions? Please contact NABE at or phone 202-463-6223.

About the Instructor:

Brian Quistorff is an Economist in the Office of the Chief Economist in the AI + Research division of Microsoft. This group combines Economists with traditional Data Scientists to address difficult challenges facing Microsoft. He has worked across many products groups, including Office and Gaming, and on external engagements, including with the World Bank. He specializes in embedding Machine Learning into existing Econometric methods to both improve the quality of estimation/causal inference and to save time/reduce errors in model selection. He also works to open source generic tools to benefit the broader analytics community. He holds a PhD in Economics from the University of Maryland, a MA of Economics from the University of British Columbia, and a BS in Computer Science from Stanford University.