Stephan Seiler is a Professor of Marketing and Economics (by courtesy) at Imperial College. He received his PhD from the London School of Economics and was previously employed at Stanford and UCLA. Professor Seiler was named a Marketing Science Institute "Young Scholar" as well as subsequently an MSI "Scholar" and has won several best paper awards in marketing and economics. In 2020 he was awarded a Faculty Excellence Award for teaching in the Master of Science in Business Analytics program at UCLA. He is currently an Associate Editor at Marketing Science, Management Science, Quantitative Marketing and Economics, and the Journal of Industrial Economics. He co-organizes the European Quant Marketing Seminar series and he serves as a Public Editor at Quantitative Marketing and Economics.
His research focuses on consumer choice in various markets. He analyzes issues ranging from the choice of hospital for a bypass operation to the reaction of consumers to promotions of laundry detergent. He is particularly interested in understanding consumer search behavior, such as how informed consumers are about prices or other product characteristics when making a purchase decision. Another strand of his research analyzes the production and impact of user-generated content on platforms such as Wikipedia and Twitter.
Levine J, Seiler S, 2022, Identifying State Dependence in Brand Choice: Evidence from Hurricanes, Marketing Science, Vol:42, ISSN:0732-2399, Pages:934-957
Smith AN, Seiler S, Aggarwal I, 2022, Optimal Price Targeting, Marketing Science, ISSN:0732-2399
et al., 2021, Estimation of preference heterogeneity in markets with costly search, Marketing Science, Vol:40, ISSN:0732-2399, Pages:871-899