Focus on Authors

Neeraj Arora (“ Noncompensatory Dyadic Choices ”) is the John P. Morgridge Chair in Business Administration at University of Wisconsin—Madison, where he also serves as the executive director of the A.C. Nielsen Center for Marketing Research. He has an undergraduate degree in engineering from Delhi University, and an MBA and Ph.D. from the Ohio State University. He serves on the editorial boards of the Journal of Marketing Research, Marketing Science, and the Journal of Marketing. His papers have appeared in the Journal of Marketing Research, Marketing Science, the Journal of Marketing, the Journal of Consumer Research, the International Journal of Research in Marketing, and Marketing Letters. Eric T. Bradlow (“ Foreword—Revisiting the Workshop on Quantitative Marketing and Structural Econometrics ”) is a statistical methodologist and empirical researcher interested in the development of mathematical models of consumer behavior. He is interested in applying mathematical models to unique data structures in marketing, education, psychology, medicine, or whoever will give him interesting data. His wife Laura and three sons Ethan, Zach, and Ben, along with an undying passion for sports, are his greatest joys. Pradeep K. Chintagunta (“ Structural Workshop Paper—Discrete-Choice Models of Consumer Demand in Marketing ”) is the Joseph T. and Bernice S. Lewis Distinguished Service Professor of Marketing at the Booth School of Business, University of Chicago. He is interested in studying the effectiveness of marketing activities in pharmaceutical markets, investigating aspects of technology product markets, studying online and off-line purchase behavior, and analyzing household purchase behavior using scanner data. He graduated from Northwestern University and has also served on the faculty of the Johnson School, Cornell University. Preyas S. Desai (“ Music Downloads and the Flip Side of Digital Rights Management ”) is the Spencer R. Hassell Professor of Business Administration at the Fuqua School of Business, Duke University. His research covers a wide range of topics in marketing strategy, distribution channels, and marketing of durable products. His articles on these topics have appeared in journals such as Marketing Science, Management Science, the Journal of Marketing, the Journal of Marketing Research, and Quantitative Marketing and Economics. He is currently the editor-in-chief of Marketing Science. Jean-Pierre Dubé (“ Foreword—Revisiting the Workshop on Quantitative Marketing and Structural Econometrics ”) is the Sigmund E. Edelstone Professor of Marketing and Robert King Steel Faculty Fellow at the University of Chicago Booth School of Business. He is also a Faculty Research Fellow for the National Bureau of Economic Research (NBER) in the Industrial Organization program. He holds a B.Sc. in quantitative economics from the University of Toronto and a Ph.D. in economics from Northwestern University. He studies empirical quantitative marketing and empirical industrial organization, with specific interests in pricing, advertising, branding, Internet marketing, retailing, and dynamic decision making. Peter Ebbes (“ The Sense and Non-Sense of Holdout Sample Validation in the Presence of Endogeneity ”) is a visiting assistant professor of marketing at the Fisher College of Business at the Ohio State University and an assistant professor of marketing at the Smeal College of Business at the Pennsylvania State University. He has an undergraduate degree in econometrics and marketing and obtained a Ph.D. from the University of Groningen. His research focuses on understanding and modeling endogeneity in market response models, and heterogeneity and segmentation in consumer markets. Paul B. Ellickson (“ Structural Workshop Paper—Estimating Discrete Games ”) is an assistant professor of economics and of marketing at the University of Rochester. He received an A.B. in economics and mathematics from the University of California, Berkeley, and a Ph.D. from the Massachusetts Institute of Technology. His research interests lie at the intersection of quantitative marketing and industrial organization, with a focus on using structural modeling to understand the forces that drive strategic interaction and optimal decision making. His research has been published in various academic outlets including the RAND Journal of Economics, the American Economic Review, Marketing Science, Quantitative Marketing and Economics, the International Journal of Industrial Organization, and the Annual Review of Economics. Brett R. Gordon (“ Foreword—Revisiting the Workshop on Quantitative Marketing and Structural Econometrics ”; “ Competitive Strategy for Open Source Software ”) is an associate professor at Columbia Business School. He received his B.S. in information systems and economics and Ph.D. in economics from Carnegie Mellon University. He studies topics in empirical industrial organization and marketing, with a particular interest in how competition impacts firms' pricing and innovation decisions, especially in high-tech markets. More recently, he has examined the effects of competition on advertising in political elections. Wesley Hartmann (“ Identifying Causal Marketing Mix Effects Using a Regression Discontinuity Design ”) is an associate professor of marketing at the Stanford Graduate School of Business. He holds a Ph.D. in economics from the University of California, Los Angeles. He is interested in applying and developing econometric techniques to analyze questions relevant to marketing and economics. His current research focuses on dynamic choice contexts, pricing, advertising, social interactions, and targeted marketing. Ty Henderson (“ Noncompensatory Dyadic Choices ”) is an assistant professor at the McCombs School of Business, University of Texas at Austin. He earned his Ph.D. from the University of Wisconsin–Madison after experiencing the dot-com boom at two start-ups. His research interests include sales promotion and branding strategy in the context of public goods, noncompensatory choice, Bayesian econometric methods, and behavioral measurement technologies. His research has appeared in Marketing Science and the Journal of Marketing. Ajay Kalra (“ Understanding Responses to Contradictory Information About Products ”) is a professor of marketing at the Jesse H. Jones Graduate School of Business at Rice University. He received his Ph.D. from Duke University. His current research is oriented toward substantive topics such as communication strategies, sales-force management, and quality assessments. He has published in Marketing Science, Management Science, Journal of Marketing Research, Journal of Marketing and Journal of Consumer Research, and he has won the O'Dell Award from the Journal of Marketing Research and was a finalist for the John D. C. Little Award. Vineet Kumar (“ Competitive Strategy for Open Source Software ”) is an assistant professor at Harvard Business School. He received his undergraduate degree from the Indian Institute of Technology and completed his master's and doctoral studies at Carnegie Mellon University. His research has focused on understanding consumer and firm choices in industries that are highly influenced by technology. His current interests include investigating how value is created and captured when consumers, with the help of social media technologies, take a leading role in producing valuable user-generated content; he also examines issues including how firms can design and deploy marketing tools to leverage user-generated inputs to cocreate digital products. Shibo Li (“ Understanding Responses to Contradictory Information About Products ”) is an associate professor of marketing at the Kelley School of Business, Indiana University. He received a Ph.D. in industrial administration (marketing) from Carnegie Mellon University. His research interests are consumer dynamics, analytical customer relationship management, interactive marketing, and analytical and empirical analysis of signaling models. He was recognized as a MSI Young Scholar in 2009; received the 2004 John A. Howard AMA Doctoral Dissertation Award, the 2006 CART Research Frontier Award for Innovative Research from Carnegie Mellon University, the 3M Junior Faculty Grant Award from the Kelley School of Business, Indiana University from 2008 to 2010; and was a finalist for the 2004 John D. C. Little Award. Qing Liu (“ Noncompensatory Dyadic Choices ”) is an assistant professor of marketing at the University of Wisconsin–Madison. She received her B.S. degree from the University of Science and Technology of China and her M.S. and Ph.D. in statistics from the Ohio State University. Her research focuses on the application and development of statistical theories and methodology to help solve problems in marketing and marketing research; areas of interest include conjoint analysis, consumer choice, experimental design, and Bayesian methods. Her papers have appeared in Marketing Science, Quantitative Marketing and Economics, and Statistica Sinica. Carl F. Mela (“ Structural Workshop Paper—Data Selection and Procurement ”) is the T. Austin Finch Foundation Professor of Marketing at Duke University. His research focuses on the long-term effects of marketing activity, customer management, the Internet, and new media. His articles have appeared in the Journal of Marketing Research, Marketing Science, the Journal of Marketing, Harvard Business Review, and the Journal of Consumer Research, and they have received or been nominated for more than 20 best paper awards. His home page is located at http://www.duke.edu/~mela . Sanjog Misra (“ Structural Workshop Paper—Estimating Discre

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