Machine Learning and Data Science for Economists


June 12-15, 2023
Monday - Thursday
1:00 PM - 4:30 PM Eastern

This course aims to speak to the value of using methods from machine learning and data science for the applied business economist.  More course information


NABE Member**: $1,525

U.S. Government Employee: $1,600

Non-Member**: $1,675

*Last Day to Register: June 7, 2023

**An additional $75 for shipment of materials outside the U.S.

To be eligible for a refund less $50 fee, registration cancellation must be received in writing by May 17, 2023. Registration transfers can be considered upon request; however, a $75 processing fee will be assessed for all registration transfers. Questions? Please contact NABE at [email protected] or phone 202-463-6223.



Download the registration form and email to [email protected]. Registration by email includes a $25 processing fee.  Save $25 by registering online! 

About the Instructor:

Brian Quistorff is a Research Economist at the Bureau of Economic Analysis. Formerly, he was an Economist in the Office of the Chief Economist in the AI + Research division of Microsoft. This group combined Economists with traditional Data Scientists to address difficult challenges facing Microsoft. He 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.