With the greater availability of data and algorithms, firms in today's digital age are increasingly generating prices or price recommendations based on individual consumers' personal characteristics and behaviors. Does this benefit or harm consumers, and how should policymakers respond? Sanjog Misra, a Professor of Marketing and Applied AI at the University of Chicago and thought leader on personalized pricing, joins Sergei Zaslavsky and Rubin Waranch to discuss competition and consumer protection perspectives on personalized pricing, as well as policy implications and lessons still to be learned. Listen to this episode to learn more about how economists think about personalized pricing and considerations that may influence regulators and lawmakers grappling with this increasingly prevalent practice.
