Elena Prager

Assistant Professor of Strategy

Print Overview

Elena Prager is an applied microeconomist with research interests at the intersection of industrial organization and health economics. Her work uses empirical analyses of large, detailed datasets to answer policy-relevant questions about strategic behavior among health insurers and health care providers. In recent research, she has examined provider network formation and hospital-insurer price negotiations under tiered provider networks.

Professor Prager received her PhD in applied economics with a concentration in health economics from the University of Pennsylvania's Wharton School in 2016. She also holds an MS from Wharton and an undergraduate degree from York University's Schulich School of Business. Her research has been funded by the Agency for Healthcare Research and Quality, the Social Sciences and Humanities Research Council of Canada, and other agencies.

Areas of Expertise
Competition in Healthcare
Data Analysis
Healthcare Economics
Healthcare Management
Industrial Organization Economics

Print Vita
PhD, 2016, Managerial Sciences and Applied Economics, University of Pennsylvania
M.S., 2013, Health Care Management, University of Pennsylvania
International B.B.A, 2011, Economics, York University

Academic Positions
Assistant Professor of Strategy, Kellogg School of Management, Northwestern University, 2016-present
Donald P. Jacobs Scholar, Strategy, Kellogg School of Management, Northwestern University, 2016-present
Fellow, Leonard Davis Institute of Health Economics, University of Pennsylvania, 2014-2016

Honors and Awards
Biennial Student Paper Award, American Society of Health Economists
Best Rising Star Paper Prize, Industrial Organization Society

Print Research
Working Papers
Prager, Elena. 2017. Consumer Responsiveness to Simple Health Care Prices: Evidence From Tiered Hospital Networks.

Print Teaching
Full-Time / Evening & Weekend MBA
Analytics for Strategy (STRT-469-0)
This course was formerly known as MGMT 469
Most strategic decisions businesses make require an assessment of cause and effect. What will happen to prices and sales if I open a new location in a particular geographic area? How will consumers respond if I begin posting the caloric content of my food products at the point of purchase? What is the effect of seasonal bonuses on employee productivity? This course is a deep dive into the empirical tool that is most valuable for linking cause to effect: regression analysis. You will learn how to perform convincing data analyses to answer specific questions, how to evaluate analyses others have done, and how to present data analysis in a clear and accessible way.

Students who took DECS 434 prior to the launch of DECS 431 (Fall 2013) must have permission of the instructor to enroll.