T. Tony Ke
Associate Professor, Business School
The Chinese University of Hong Kong
My research is in the area of quantitative marketing, microeconomic theory and industrial organization. My current works investigate consumer search, online advertising and platforms, and economics of privacy, data and algorithms.
"Learning by Choosing: Career Concerns with Observable Actions." (with Christopher Li and Mikhail Safronov) revise and resubmit, American Economic Journal: Microeconomics
This paper explores potential inefficiencies when a worker chooses tasks that differ in productivity and information in a dynamic employment relationship and provides a new explanation of wage jump at job promotion.
"A Product-Portfolio View of Brand Positioning." (with Jiwoong Shin and Jungju Yu) revise and resubmit, Marketing Science
This paper proposes a product-portfolio view of brand positioning and shows that search frictions lead to niche brand.
"Privacy Rights and Data Security: GDPR and Personal Data Driven Markets." (with K. Sudhir), revise and resubmit, Management Science
This paper investigates how the two key features of GDPR—privacy rights and data security—impact personal data driven markets.
"Pay To Lose: a Theory of Digital Co-op." (with Kinshuk Jerath and Fei Long)
This paper proposes that a common retailer softens manufacturers' competition for category keywords and facilitates business stealing for brand keywords.
"Peer-to-Peer Markets with Bilateral Ratings." (with Monic Sun and Baojun Jiang)
NET Institute Summer Research Grant, 2017
This paper shows that bilateral ratings may soften price competition and sellers of higher quality may charge lower prices.
"Parallel Search for Information." (with Wenpin Tang, J. Miguel Villas-Boas and Yuming Zhang)
This paper introduces the parallel search problem, where an agent learns multiple alternatives simultaneously over time before choice.
"Cheap Talk on Freelance Platforms." (with Yuting Zhu), Management Science (forthcoming)
This paper shows that buyers always have incentives to reveal their preferences truthfully on a freelance platform without post-match renegotiations.
"Searching for Service." (with Maarten Janssen), American Economic Journal: Microeconomics (2020)
This paper shows that pre-sale service makes a retailer prominent for consumer search, resulting in higher sales and profit despite of showrooming.
"Informational Complementarity." (with Song Lin), Management Science (2020)
This paper shows that substitutes can become complements when consumers search among products with correlated information.
"Optimal Learning Before Choice." (with J. Miguel Villas-Boas), Journal of Economic Theory (2019)
This papers shows that it can be optimal to learn a worse and more certain alternative so as to rule it out early and save efforts.
"Cooperative Search Advertising." (with Xinyu Cao), Marketing Science (2019)
This paper devises a manufacturer's optimal cooperative advertising strategy when he competes with its retailers in search ad auctions.
"Search for Information on Multiple Products." (with Z. Max Shen, and J. Miguel Villas-Boas), Management Science (2016)
Finalist, Frank M. Bass Award, 2017 and 2018
This paper introduces gradual learning into consumer search and provides a rational account for choice overloading.
"How Inventory Cost Influence Introduction Timing of Product Line Extensions?" (with Z. Max Shen, and Shan Li), Production and Operations Management (2013)
"Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate." (with Wei Chen, Alex Collins, Rachel Cummings, Zhenming Liu, David Rincon, Xiaorui Sun, Yajun Wang, Wei Wei, and Yifei Yuan), SDM (2011)
"Rapid Mid-Infrared Variability in Protostellar Disks." (with Hao Huang, and Douglas N.C. Lin), The Astrophysical Journal (2012)