Scholar
Stephan Seiler
Google Scholar ID: S9RotpMAAAAJ
Imperial College London
Citations & Impact
Citations
1,739
H-index
17
i10-index
18
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Papers: Demand Estimation with Text and Image Data; Causal Inference with Endogenous Price Response; Soda Taxes research featured on the 'How I Wrote This' podcast; Developed a new method to detect undisclosed sponsored content on Twitter; Annually selects the best quant marketing papers.
Research Experience
- Professor of Marketing at Imperial College Business School; Co-Editor at Quantitative Marketing and Economics; Associate Editor at Management Science, the Journal of Marketing Research, and the Journal of Industrial Economics; Co-organizer of the European Quant Marketing Seminar (eQMS).
Background
- Professor of Marketing, interested in how consumers make choices ranging from laundry detergent discounts to choosing a hospital for a bypass operation. Particularly focused on how consumers gather information before making a purchase and what can be learned from data on consumer search behavior.
Miscellany
- Interests include sharing recent research projects via his Blog; Active on Twitter.
