National Science Foundation
Brad Larsen is an assistant professor in the Department of Economics at Stanford University. He received his PhD in economics from MIT in 2013 after having completed his BA in economics and BS in mathematics at Brigham Young University. Prior to joining Stanford, he spent a year as a visiting postdoctoral scholar at eBay Research Labs.
Larsen’s research focuses on empirical applied microeconomics and data methods, with emphasis on bargaining and occupational licensing. His bargaining research uses large datasets from real-world negotiations to study how humans, firms, and nations negotiate, and how this behavior relates to theoretical bargaining models. Larsen’s occupational licensing work analyses how licensing laws affect supply, competition, consumer choices, service outcomes, and prices in regulated occupations. His other research analyzes auctions, consumer search, price discrimination, gray market activity, trade, and digital copyright law. His research has been published in Econometrica, the Review of Economic Studies, the American Economic Review, and the Quarterly Journal of Economics, among other journals.
At Stanford, Larsen has taught undergraduate and graduate courses in industrial organization in the Department of Economics and the Graduate School of Business and a course for the Bing Overseas Study Program in Madrid.
In 2020, the National Science Foundation awarded Larsen a grant for his research on "The Impact of Big Data on Dynamic Personalized Pricing: Theory and Evidence."