Focus On Authors

Patrick Bachmann (“The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis”) is a PhD candidate and research associate at the Chair for Marketing and Market Research and at the University Research Priority Program “Social Networks”, University of Zurich. He completed his MS in business administration at the University of Zurich. He is working in the field of customer relationship management and customer lifetime value.

Tom Blake (“Price Salience and Product Choice”) is an economist working in e-commerce, currently with A9. His research spans a range of empirical topics in industrial organization, including price discrimination, pricing strategies, bargaining, and digital advertising. He holds a BA in mathematics and economics from the University of California at San Diego, an MA in economics from the University of California, Davis, and a PhD in economics from the University of California, Davis. He previously worked at eBay Research Labs.

Dominic Coey (“Scalable Optimal Online Auctions”) leads the economics, algorithms, and optimization group in Facebook's Core Data Science team. He received his PhD in economics from Stanford University in 2013 and before Facebook was a research scientist at eBay. He researches how to improve the design of largescale digital platforms using the tools of economics and causal inference, with a particular focus on the econometrics of online experimentation.

Jean-Pierre Dubé (“Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares”) is the Sigmund E. Edelstone Professor of Marketing at the University of Chicago, director of the Kilts Center for Marketing, faculty research fellow at the NBER and academic trustee for MSI. He has a BSc from the University of Toronto and an MA and PhD in economics from Northwestern University. His research studies consumer behavior and marketing decision-making and has been published in the leading economics and marketing journals.

Chuan He (“Low-Price Guarantees in a Dual Channel of Distribution”) is associate professor of marketing at Leeds School of Business, University of Colorado at Boulder. His research interests include advertising, search, pricing strategies, and channel contracts. He holds a PhD in marketing from Washington University in St. Louis, and an MA in economics from the University of Toronto. His recent publications appeared in Management Science and the Journal of Marketing Research. He serves on the editorial board of Marketing Science.

Ali Hortaçsu (“Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares”) has a PhD from Stanford and is the Ralph and Mary Otis Isham Professor of Economics at the University of Chicago. He is a member of the American Academy of Arts and Sciences and fellow of the Econometric Society. Ali has worked on auctions, pricing, search and information frictions, vertical relationships, with applications in e-commerce, finance, energy, transportation, and retail industries. He has been co-editor of the International Journal of Industrial Organization, RAND Journal of Economics, and the Journal of Political Economy.

Jian Jia (“The Short-Run Effects of the General Data Protection Regulation on Technology Venture Investment”) holds a PhD in finance from the Stuart School of Business, Illinois Institute of Technology, and an MSc in finance from Loyola University Chicago, and he works as an economist at Amazon, Inc. His research interests include entrepreneurial finance and law and economics, where he studies topics at the interface of consumer protection and competition, including data regulatory regimes such as Europe's General Data Protection Regulation and the U.S. Communication Decency Act's Section 230.

Juncai Jiang (“Low-Price Guarantees in a Dual Channel of Distribution”) is assistant professor of marketing at Pamplin School of Business, Virginia Tech. His research interests include low-price guarantees, crowdsourcing contests, and online consumer journey. He holds a PhD in marketing from the University of Texas at Dallas, an MA in management science from Tianjin University, and a BA in computer science from Tianjin University. His recent work appeared in Management Science and Production and Operations Management.

Ginger Zhe Jin (“The Short-Run Effects of the General Data Protection Regulation on Technology Venture Investment”) received her PhD in economics from the University of California, Los Angeles (UCLA) and is currently professor of economics at the University of Maryland, College Park. From January 2016 to July 2017, she served as the director of Bureau of Economics at the Federal Trade Commission. Most of her research focuses on information asymmetry among economic agents and solutions to the information problem. She has received research support from the National Science Foundation, the Net Institute, and the Alfred P. Sloan Foundation.

Joonhwi Joo (“Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares”) is assistant professor of marketing at the Naveen Jindal School of Management, University of Texas at Dallas. He received a BA in economics from Seoul National University in 2012, and an MA and PhD in economics from the University of Chicago in 2013 and 2018, respectively. His research interests include quantitative marketing and industrial organization, with specific interests in choice models, pricing, and applied econometric methods.

Xinyao Kong (“Do ‘Made in USA’ Claims Matter?”) is a PhD student in marketing at the Booth School of Business, University of Chicago.

Anja Lambrecht (“The Effect of Individual Online Reviews on Purchase Likelihood”) is professor of marketing at London Business School. Her research on digital marketing and the digital economy has appeared in Marketing Science, Management Science, and the Journal of Marketing Research. Anja has received the Paul E. Green Award, the William F. O’Dell Award, and the AMA TechSIG-Lazaridis Prize. She was a finalist for the Marketing Science Long Term Impact Award and named an MSI Young Scholar and an MSI Scholar. Anja holds a PhD from Goethe University, Frankfurt.

Bradley J. Larsen (“Scalable Optimal Online Auctions”) is an assistant professor in the department of economics at Stanford. He obtained his economics PhD from MIT and a BA in economics and BS in mathematics from Brigham Young University. He spent one year as a postdoctoral researcher at eBay. His primary area of research is industrial organization, with specific emphasis on bargaining, occupational licensing, consumer search, and digital marketplaces.

Xiaolin Li (“Digital Piracy, Creative Productivity, and Customer Care Effort: Evidence from the Digital Publishing Industry”) is an assistant professor of marketing in the department of management, London School of Economics. Her research portfolio is centered on salesforce compensation, interfirm procurement ties, and digital marketing.

Chenxi Liao (“Digital Piracy, Creative Productivity, and Customer Care Effort: Evidence from the Digital Publishing Industry”) is an assistant professor of marketing at the Chinese University of Hong Kong. She holds a PhD in marketing from the University of Texas at Dallas and a BS in mathematics and applied mathematics from the University of Science and Technology of China. She is interested in digital marketing, opinion leader marketing, pricing, competitive strategy, and channel coordination.

Markus Meierer (“The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis”) leads the research group “Social Networks and Consumer Behavior” at the University Research Priority Program “Social Networks” at the University of Zurich. He completed his PhD at the University of Trier. Markus is working in the field of customer relationship management, customer lifetime value, and social influence.

Sarah Moshary (“Price Salience and Product Choice”) is an assistant professor of marketing and Robert King Steel Faculty Fellow at the Booth School of Business, University of Chicago. Her work lies at the intersection of quantitative marketing, industrial organization, and political economy. She holds an AB in economics from Harvard and a PhD in economics from MIT, and previously worked at the University of Pennsylvania and eBay.

Jeffrey Näf (“The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis”) is a PhD candidate at the Seminar for Statistics at ETH Zurich. He completed his MS in statistics at ETH and his MS in business administration at the University of Zurich. He is working in the field of probability models and on methodological development at the intersection of machine learning and statistics.

Anita Rao (“Do ‘Made in USA’ Claims Matter?”) is an associate professor of marketing at the Booth School of Business, University of Chicago.

Kane Sweeney (“Scalable Optimal Online Auctions”; “Price Salience and Product Choice”) is the vice president of data science at Mindstrong. He received his PhD in managerial economics and strategy from the Kellogg School of Management at Northwestern University in 2013. Before joining Mindstrong, he held data science positions at eBay, StubHub, and Uber. His primary research fields are microeconomics and industrial organization, with a focus on topics related to auction models.

Steven Tadelis (“Price Salience and Product Choice”) is a professor of economics, business and public policy and the Sarin Chair in Strategy and Leadership at Haas School of Business, University of California Berkeley. His current research focuses on e-commerce, the economics of the Internet, and industrial organization. He holds a BS from the University of Haifa, an MSc from the Technion, and a PhD from Harvard, all in economics, and he previously worked at Amazon and eBay.

Prasad Vana (“The Effect of Individual Online Reviews on Purchase Likelihood”) is assistant professor of business administration at the Tuck School of Business, Dartmouth. His research focuses on online marketing utilizing traditional econometric modeling methodology as well as the more recently developed machine learning tools. He empirically investigates questions on online promotions and advertising, online platforms, and online reviews. His research has been published in the Journal of Marketing Research. He holds a PhD from the London Business School.

Liad Wagman (“The Short-Run Effects of the General Data Protection Regulation on Technology Venture Investment”) holds a PhD and an MSc in economics from Duke University, and an MSc in computer science from Stanford University. He is professor of economics at the Stuart School of Business, Illinois Institute of Technology. He works in the areas of information economics, industrial organization, law and economics, and entrepreneurship, focusing on issues at the interface of consumer protection and competition. He is a recipient of a number of teaching and research awards.

Caio Waisman (“Scalable Optimal Online Auctions”) is an assistant professor of marketing in the Kellogg School of Management at Northwestern University. He obtained his economics PhD at Stanford. He spent one year as an applied researcher at JD.com. His primary fields are quantitative marketing, industrial organization, and applied econometrics.

Ying Xie (“Digital Piracy, Creative Productivity, and Customer Care Effort: Evidence from the Digital Publishing Industry”) is a professor of marketing at Naveen Jindal School of Management, University of Texas at Dallas. She received her PhD in marketing from the Kellogg School of Management, Northwestern University. She is interested in topics related to consumer learning, social influence, social media, content platforms, and digital entertainment.