Focus On Authors

Eva Ascarza (“Some Customers Would Rather Leave Without Saying Goodbye”) is an associate professor of marketing at the Columbia Business School. She is a marketing modeler who uses tools from statistics, economics, and machine learning to answer relevant marketing questions. Her main research areas are customer analytics and customer relationship management, with special attention to the problem of customer retention. She uses field experimentation (e.g., A/B testing) as well as econometric modeling and machine learning tools not only to understand and predict patterns of behavior but also to optimize the impact of firms’ interventions.

Weining Bao (“Informal Lending in Emerging Markets”) is an assistant professor of marketing at the UTS Business School, University of Technology Sydney. He received his doctoral degree from Johns Hopkins University. His research interests are structural models and applied game theory, with applications in the financial service markets and emerging markets.

Bart J. Bronnenberg (“Changing Their Tune: How Consumers’ Adoption of Online Streaming Affects Music Consumption and Discovery”) is a professor of marketing at Tilburg University. He is also a research fellow at the Center of Economic Policy Research. He holds a Ph.D. in management from INSEAD. He studies consumer search, the effects of branding, and the demand and supply of convenience and variety. He has published in leading journals in marketing and economics.

Yongmin Chen (“Selling Your Product Through Competitors’ Outlets: Channel Strategy When Consumers Comparison Shop”) is a professor of economics at the University of Colorado at Boulder. He earned his Ph.D. from Boston University. His research areas include price theory, vertical contracting, innovation and intellectual property, consumer search, antitrust, and international trade; he has published over 50 journal articles on these and other topics in economics and business. He is a managing editor of the International Journal of Industrial Organization and an associate editor of the RAND Journal of Economics. In 2015, he received the University of Colorado Boulder’s BFA Excellence Award for Research, Scholarly, and Creative Work, in recognition of his research in the field of industrial organization that “has advanced understanding of several crucial issues, including how firms make dynamic price decisions under imperfect competition, how they structure vertical relations, and what determines incentives for innovation.”

Hannes Datta (“Changing Their Tune: How Consumers’ Adoption of Online Streaming Affects Music Consumption and Discovery”) is an assistant professor of marketing at Tilburg University. He holds a Ph.D. in marketing from Maastricht University. His current research focuses on digital media consumption (specifically in the context of online streaming). Apart from his interest in new media, he works on projects in the area of retailing. His work appeared in the Journal of Marketing and the Journal of Marketing Research, and he has been a finalist for the 2015 Paul E. Green Award.

Jean-Pierre Dubé (“Income and Wealth Effects on Private-Label Demand: Evidence from the Great Recession”) is the Sigmund E. Edelstone Professor of Marketing at the University of Chicago Booth School of Business. He is also the director of the Kilts Center for Marketing and an appointed Faculty Research Fellow at the National Bureau of Economic Research. He received a B.Sc. from the University of Toronto in quantitative methods in economics, and an M.A. and Ph.D. in economics from Northwestern University. His research interests include quantitative marketing and industrial organization, with specific applied interests in pricing, advertising, branding, and digital marketing. His research has been published in the American Economic Review, Econometrica, the Journal of Marketing Research, the Journal of Political Economy, Management Science, Marketing Science, Quantitative Marketing and Economics, the Quarterly Journal of Economics, and the RAND Journal of Economics; he is an area/associate editor for the Journal of Marketing Research, Management Science, Marketing Science, and Quantitative Marketing and Economics.

Sachin Gupta (“A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data”) is the Henrietta Johnson Louis Professor of Marketing and Professor of Management at the Johnson Graduate School of Management at Cornell University. He is currently the Director of the Johnson Ph.D. Program, and co-editor of the Journal of Marketing Research. He has an undergraduate degree in economics from St. Stephen’s College, Delhi University, an MBA from the Indian Institute of Management, Ahmedabad, and a Ph.D. from Cornell University. His previous papers have appeared in the Journal of Marketing Research, Marketing Science, Management Science, the International Journal of Research in Marketing, and the Cornell Hospitality Quarterly, among others, and several have won best paper awards.

Bruce G. S. Hardie (“Some Customers Would Rather Leave Without Saying Goodbye”) is a professor of marketing at the London Business School. His primary research interest lies in the development of data-based models to support marketing analysts and decision makers, with a particular interest in models that are easy to implement. Most of his current projects focus on the development of probability models for customer-base analysis.

Wesley R. Hartmann (“Super Bowl Ads”) is a professor of marketing at the Stanford University Graduate School of Business. His research applies and develops techniques to analyze questions relevant to marketing and economics. His publications consider topics such as advertising, switching costs, price discrimination, targeted marketing, social interactions, and dynamic decision-making.

Günter J. Hitsch (“Income and Wealth Effects on Private-Label Demand: Evidence from the Great Recession”) is a professor of marketing at the University of Chicago Booth School of Business. He holds a Master’s degree in economics from the University of Vienna and a Ph.D. in economics from Yale University. His research interests include dynamic models of firm and consumer decision-making with a specific focus on dynamic advertising, pricing, sequential experimentation, and consumer discount factor estimation. Current research also includes work on retail pricing and the application of ideas from the machine learning and causal inference literatures in customer relationship management. His research has been published in the Journal of Quantitative Marketing and Economics, Marketing Science, the Journal of Marketing Research, the American Economic Review, and the RAND Journal of Economics; he is an associate editor at Management Science and the Journal of Quantitative Marketing and Economics.

Sharan Jagpal (“A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data”) is a professor of marketing at the Rutgers Business School. He holds a Ph.D. in marketing from the Columbia Business School and a B.Sc. (Econ) Honors degree from the London School of Economics. His research interests include the marketing-finance interface, decision-making under uncertainty, the theory of the multiproduct firm, statistical methodology, new products, pricing, advertising, and preference theory. He is the author of Marketing Strategy and Uncertainty and Fusion for Profit: How Marketing and Finance Can Work Together to Create Value; his papers have appeared in such journals as Marketing Science, Journal of Marketing Research, International Economic Review, Journal of Classification, International Journal of Research in Marketing, and Journal of Business. He has taught extensively in the U.S. and abroad in executive and graduate programs at such schools as the Columbia Business School, McGill University, and the International University of Japan.

Daniel Klapper (“Super Bowl Ads”) is a professor of marketing at the School of Business and Economics at Humboldt University Berlin. His research applies quantitative models for studying consumer choice behavior and strategic behavior of firms. His publications consider topics such as competition, retail pass through, advertising, product variety, and pricing.

George Knox (“Changing Their Tune: How Consumers’ Adoption of Online Streaming Affects Music Consumption and Discovery”) is an associate professor of marketing at Tilburg University. He holds a Ph.D. in marketing from the Wharton School of the University of Pennsylvania and was previously on the faculty of Drexel University. His current research interests are on audience fragmentation in a digital streaming context and forecasting customer lifetime value when both firms and customers can sever ties. He has published in Marketing Science, Journal of Marketing, International Journal of Research in Marketing, and Manufacturing and Service Operations Management.

Shaobo Li (“A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data”) is a Ph.D. candidate in the Carl H. Lindner College of Business, University of Cincinnati. His research interests include high-dimensional robust statistics, nonparametric regression, ordinal data analysis, marketing data privacy, and corporate bankruptcy prediction. He has received the 2017 Lindner Outstanding Graduate Research Award, the 2017 JSM Travel Award, the 2017 Spring Dean’s List of Teaching Excellence, and the 2016 URC Graduate Student Summer Research Fellowship.

Sridhar Moorthy (“Selling Your Product Through Competitors’ Outlets: Channel Strategy When Consumers Comparison Shop”) holds the Manny Rotman Chair in Marketing at the Rotman School of Management, University of Toronto. He received his Ph.D. from Stanford University, and has taught previously at the University of Rochester, Yale University, INSEAD, UCLA, Wharton, and the Indian School of Business. He works on marketing problems from both the theoretical and empirical perspectives. His current research focuses on branding, advertising, and retailing issues. He is an associate editor of Management Science, a member of the editorial board of the Journal of Marketing Research, and a past area editor of Marketing Science.

Oded Netzer (“Some Customers Would Rather Leave Without Saying Goodbye”) is an associate professor of business at Columbia University. He received a B.Sc. in industrial engineering and management from the Technion (Israel Institute of Technology) and an M.Sc. in statistics and a Ph.D. in business, both from Stanford University. His research centers on one of the major business challenges of the data-rich environment of the 21st century: developing quantitative methods that leverage data to gain a deeper understanding of customer behavior and guide firms’ decisions; he focuses primarily on building statistical and econometric models to understand how customer choices change over time, and across contexts; most notably, he has developed a framework for managing firms’ customer bases through dynamic segmentation; more recently, his research focuses on leveraging text-mining techniques in business application. His research has appeared in top academic journals in the field including the Journal of Marketing Research, Marketing Science, Quantitative Marketing and Economics, the Journal of Consumer Research, and the Journal of Experimental Psychology; he is an area editor at Management Science and Quantiative Marketing and Economics and serves on the editorial board of several top journals including the Journal of Marketing Research, Marketing Science, the Journal of Marketing, and the International Journal of Research in Marketing. He is the winner of the ISMS Long-term Contribution Award, the John Little Best Paper Award, the Frank Bass Outstanding Dissertation Award, the George S. Eccles Research Fund Award, and the Columbia Business School Dean’s Award for teaching excellence.

Jian Ni (“Informal Lending in Emerging Markets”) is an associate professor at the Carey Business School with a joint appointment in the Department of Economics, Johns Hopkins University. He specializes in empirical and theoretical analysis of healthcare and pharmaceutical, environmental, and energy, financial service, technology, and emerging markets. His recent research interests include pricing, (non-)monetary incentive design, people analytics, social media, mobile platforms, and empirical industrial organization. His work is supported by the National Science Foundation, the National Institute of Health, the Center for Global Health, Environment, Energy, Sustainability, and Health Institute, and the China Medical Board, among others. He was named a 2017 Marketing Science Institute Young Scholar.

Adithya Pattabhiramaiah (“Rising Prices Under Declining Preferences: The Case of the U.S. Print Newspaper Industry”) is an assistant professor of marketing at the Scheller College of Business at the Georgia Institute of Technology. He received his Ph.D. in marketing from the University of Michigan. His research focuses on studying consumer and firm decisions in markets characterized by demand externalities, and social interactions. His dissertation research explored problems pertaining to pricing of information media, specifically print and online newspapers, and was a winner of the 2013 Alden G. Clayton Dissertation Proposal Competition.

Peter E. Rossi (“Income and Wealth Effects on Private-Label Demand: Evidence from the Great Recession”) is the James Collins Professor of Marketing, Economics and Statistics at the Anderson School of Management, UCLA. He received his Ph.D. from the University of Chicago and a B.A. from Oberlin College. He has published widely in marketing, economics, statistics, and econometrics with more than 14,000 Google Scholar cites. He is a co-author of Bayesian Statistics and Marketing and the author of Bayesian Semi and Non-parametric Methods in Marketing and Micro-Econometrics; he is the author of the R package, bayesm. A fellow of the American Statistical Association and the Journal of Econometrics, he is the founding editor of Quantitative Marketing and Economics.

Matthew J. Schneider (“A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data”) is an assistant professor at the LeBow College of Business at Drexel University. Prior to Drexel, he was an assistant professor at Northwestern University, Director of Research at Fort Rock Asset Management LLC, an analyst at the RAND Corporation, and a Surface Warfare Officer in the United States Navy. He holds an M.S. and Ph.D. in statistics from Cornell University, an M.S. from Carnegie Mellon University, and a B.S. from the United States Naval Academy.

Shubhranshu Singh (“Informal Lending in Emerging Markets”) is an assistant professor of marketing at the Johns Hopkins Carey Business School, Johns Hopkins University. He holds a Ph.D. in business administration from the University of California at Berkeley. His research interests include competitive marketing strategy, information disclosure, and safety with focus on emerging markets.

Shrihari Sridhar (“Rising Prices Under Declining Preferences: The Case of the U.S. Print Newspaper Industry”) is the Center for Executive Development Professor, and associate professor of marketing, Mays Business School, Texas A&M University. His research focus is on marketing analytics, the field of evaluating the effectiveness of firms’ marketing spending. His research spans three main areas: assessing the causal effects of marketing mix spending, investigating how marketing mix decisions and effectiveness vary across institutional settings, and examining the properties of optimal marketing budgeting and allocation policies. He focuses on the media, digital, and business-to-business markets.

S. Sriram (“Rising Prices Under Declining Preferences: The Case of the U.S. Print Newspaper Industry”) is an associate professor of marketing at the Ross School of Business, University of Michigan. He holds a B.Tech from the Indian Institute of Technology and a Ph.D. in marketing from Purdue University. His recent research encompasses topics such as inferring complementary/substituting relationships between products, cannibalization, consumer adoption of technology products, and strategies for multi-sided platforms. Substantively, his research has spanned several industries including consumer packaged goods, technology products and services, retailing, news media, and the interface of healthcare and marketing. His research has been previously published in several marketing journals including Marketing Science, Management Science, the Journal of Marketing, Quantitative Marketing and Economics, and the Journal of Consumer Research.

Shervin Shahrokhi Tehrani (“Selling Your Product Through Competitors’ Outlets: Channel Strategy When Consumers Comparison Shop”) is a Ph.D. candidate in marketing at the University of Toronto. He also earned his Ph.D. in mathematics from the University of Toronto. His research areas include theoretical and structural empirical modeling. His current research projects are on advertising and price targeting, retailing channel structure, bounded rationality at multi-armed bandit process, and social herding behavior. He wrote his mathematics thesis on arithmetic geometry and Siegel modular forms.

Yan Yu (“A Flexible Method for Protecting Marketing Data: An Application to Point-of-Sale Data”) is the Joseph S. Stern Professor of Business Analytics in the Lindner College of Business at the University of Cincinnati. She earned her Ph.D. in statistics from Cornell University; she holds an M.S. in applied mathematics from Texas A&M University and a B.S. from the University of Science and Technology of China. Her research interests are data mining, statistical finance, and nonparametric estimation. She has served as an associate editor for the Journal of the American Statistical Association and Statistica Sinica, the leading journals in statistics. At the University of Cincinnati, she was named the college research fellow and she was the 2010 recipient of the Westerbeck Faculty Graduate Teaching Award; she has served as chair of the Lindner College of Business Research Excellence Committee and served on the University of Cincinnati Research Advisory Board.