Leon Musolff

Leon Musolff is an assistant professor of Business Economics and Public Policy at the University of Pennsylvania’s Wharton School. His research focuses on empirical industrial organization, particularly the empirical analysis of e-commerce platforms. He uses tools from structural industrial organization and causal inference techniques from applied microeconomics to study how online platforms can design marketplaces to shape algorithmic competition between merchants, detect collusive bidding rings, and balance entry incentives with the need to surface competitively priced products in search and recommendation algorithms. His recent work explores the impact of generative artificial intelligence and markets for cloud computing and search engines. Before joining Wharton, he completed graduate studies at Princeton University and a postdoc in the Economics & Computation group at Microsoft Research New England.

Leon Musolff is an Assistant Professor of Business Economics and Public Policy at the University of Pennsylvania, specializing in industrial organization, the digital economy, and e-commerce. His research explores how technological advancements, particularly in artificial intelligence and platform-based markets, influence market dynamics, competition, and consumer behavior. Musolff's work includes examining the impact of generative AI on high-skilled labor, algorithmic pricing in e-commerce, and the role of platform-guided search in shaping two-sided markets. His studies often employ field experiments and empirical analysis to uncover the mechanisms behind market power, collusion, and pricing strategies in digital environments.