Machine Learning and Data Science for Economists


February 26-27, 2020

2 days, 8:30 AM – 4:30 PM
Capital Hilton Hotel
Washington, DC

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: $1,600

U.S. Government Employee: $1,675

Non-Member: $1,750

To be eligible for a refund less $50 fee, registration cancellation must be received in writing by January 22, 2020.  Questions? Please contact NABE at [email protected] or phone 202-463-6223.



and fax to (202) 463-6239 or email to [email protected]. Please note: a $25 processing fee will be added to registrations not completed online.


Capital Hilton Hotel  
1001 16th Street, NW
Washington, DC 20036

Travel Information

NABE has secured a block of discounted hotel rooms at $319/night (plus tax). Details on how to book will be included in your course registration confirmation email. The room block deadline is January 29, 2020, or when the block reaches capacity, whichever comes first. 


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.