Stephan Seiler is an Associate Professor of Marketing at Imperial College. He is also an Associate Professor of Economics (by courtesy) at Imperial College and a Research Fellow at the Centre for Economic Policy Research (CEPR) and the Institute for Fiscal Studies (IFS). Professor Seiler received his PhD from the London School of Economics and was previously employed at Stanford and UCLA. He was named a Marketing Science Institute "Young Scholar" in 2019 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 Quantitative Marketing and Economics and the Journal of Industrial Economics and serves on the Editorial Board of Marketing Science.
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.
et al., 2020, Estimation of preference heterogeneity in markets with costly search, Marketing Science, ISSN:0732-2399
Seiler S, Tuchman A, Yao S, 2020, EXPRESS: the impact of soda taxes: pass-through, tax avoidance, and nutritional effects, Journal of Marketing Research, Vol:58, ISSN:0022-2437, Pages:2249-2249
et al., 2018, Advancing Non-compensatory Choice Models in Marketing, Customer Needs and Solutions, Vol:5, ISSN:2196-291X, Pages:82-92
Seiler S, Yao S, Wang W, 2017, Does online word of mouth increase demand? (and how?) evidence from a natural experiment, Marketing Science, Vol:36, ISSN:0732-2399, Pages:838-861
Seiler S, Yao S, 2017, The impact of advertising along the conversion funnel, Quantitative Marketing and Economics, Vol:15, ISSN:1570-7156, Pages:241-278