Focus on Authors

Abstract

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 Discrete Games ”) is an associate professor of marketing and applied statistics at the University of Rochester. His current research interests include the development and application of structural econometric methods to marketing problems. His research has been published in journals such as Marketing Science, Quantitative Marketing and Economics, the International Journal of Marketing Research, and the Journal of Law and Economics, among others. Prasad A. Naik (“ Optimal Advertising When Envisioning a Product-Harm Crisis ”) is a professor of marketing at the University of California, Davis. He studied chemical engineering (University of Bombay) and obtained an MBA (IIM Calcutta) and a Ph.D. (University of Florida); prior to the doctoral studies, he worked for several years with Dorr-Oliver and GlaxoSmithKline, where he acquired invaluable experience in sales and distribution management and brand management. He is a recipient of the Chancellor's Fellow, Frank Bass Award, O'Dell Award Finalist, JIM Best Paper Award, MSI Young Scholar, AMS Doctoral Dissertation Award, AMA Consortium Faculty, and Professor of the Year for outstanding teaching on multiple occasions. His Erdös number is 4; his Lehmann number is 2. Harikesh S. Nair (“ Structural Workshop Paper—Discrete-Choice Models of Consumer Demand in Marketing ”; “ Identifying Causal Marketing Mix Effects Using a Regression Discontinuity Design ”) is an associate professor of marketing at the Stanford Graduate School of Business. He is interested in the dynamic effects of marketing actions and in optimal marketing resource allocation in competitive markets. His research brings together applied economic theory and econometric tools with marketing data to quantitatively inform these decisions. His recent research is in the area of sales-force compensation design, social interactions, network effects, diffusion of technologies, and empirical industrial organization, especially as applied to the marketing of high-technology and entertainment goods. Sridhar Narayanan (“ Identifying Causal Marketing Mix Effects Using a Regression Discontinuity Design ”) is an associate professor of marketing at the Graduate School of Business at Stanford University. His research focuses on empirical analysis of marketing problems through the estimation of econometric models on behavioral data; his previous research has focused on problems such as consumer learning, nonlinear pricing, peer effects, market entry, pharmaceutical marketing, and online advertising. He has a particular interest in estimation of causal effects and in Bayesian estimation. His papers have been published in Marketing Science, the Journal of Marketing Research, Quantitative Marketing and Economics, the Journal of Marketing, and Marketing Letters. Dominik Papies (“ The Sense and Non-Sense of Holdout Sample Validation in the Presence of Endogeneity ”) is an assistant professor of marketing and media management at the Institute for Marketing and Media at the University of Hamburg, Germany. He holds a doctoral degree in marketing from the University of Hamburg. His research focuses on analyzing and modeling consumer demand in markets for media products and services. In addition, he analyzes subjective consumer perceptions of firm behavior as a predictor of future purchase decisions. Devavrat Purohit (“ Music Downloads and the Flip Side of Digital Rights Management ”) is the Bob J. White Professor of Business Administration at the Fuqua School of Business, Duke University. His teaching and research interests are in marketing high-technology products and marketing strategy. He has published extensively in journals such as Marketing Science, Management Science, the Journal of Consumer Research, and the Journal of Marketing Research. Peter C. Reiss (“ Structural Workshop Paper—Descriptive, Structural, and Experimental Empirical Methods in Marketing Research ”) is the MBA Class of 1963 Professor of Economics at the Stanford University Graduate School of Business. He has a courtesy appointment in the Stanford Economics department. He received his Ph.D. in economics from Yale University, and he has a B.A. with honors in applied mathematics and economics from Brown University. He is the recipient of a Sloan Fellowship and an NBER Olin Fellowship, and in 2011–2012, he will be a fellow at the Center for Advanced Study in the Behavioral Sciences. Olivier Rubel (“ Optimal Advertising When Envisioning a Product-Harm Crisis ”) is an assistant professor of marketing at the University of California, Davis; he obtained his Ph.D. in marketing from HEC Montréal. His research has appeared in Automatica and Annals of Dynamic Games. He is an alumnus of l'Ecole Normale Supérieure de Cachan, is a recipient of the French Agrégation, and serves on the editorial board of the Journal of African Business. Finally, he enjoys the Californian pauses café and visits to the Delta of Venus, where ideas blossom. Kannan Srinivasan (“ Competitive Strategy for Open Source Software ”) is the Rohet Tolani Distinguished Professor of International Business and H. J. Heinz II Professor of Management, Marketing and Information Systems at the Tepper School of Business at Carnegie Mellon University. He is currently an area editor for Marketing Science and Quantitative Marketing and Economics, and he is an associate editor for Management Science. He has published over 50 papers in leading journals. Shuba Srinivasan (“ Optimal Advertising When Envisioning a Product-Harm Crisis ”) is an associate professor of marketing and a Dean's Research Fellow at Boston University's School of Management. Her research focuses on strategic marketing problems, in particular, long-term marketing productivity, to which she applies her expertise in time-series analysis and econometrics. Her current research focuses on marketing's impact on financial performance and firm valuation and on metrics for gauging marketing performance. She has recently won several research awards including the Broderick Prize for Excellence in Research Scholarship at Boston University in 2010, the Google-WPP Research Award in 2010 for her work on audience-based online metrics, and the Syntec Management Consulting Best Academic Paper Award in 2011, among others. Richard Staelin (“ Foreword—Revisiting the Workshop on Quantitative Marketing and Structural Econometrics ”) has been an active researcher and educator for over four decades. In addition, he has taken on a number of leadership/administrative roles, both within his university and the marketing community at large. He is interested in a diverse set of problems, ranging from the quality of medical care, to managerial decision making, to channel management. His most recent nonacademic accomplishment was to climb Mt. Kilimanjaro, which is over 19,000 feet. Raphael Thomadsen (“ Foreword—Revisiting the Workshop on Quantitative Marketing and Structural Econometrics ”) is an assistant professor of marketing at the UCLA Anderson School of Management. He holds a Ph.D. in economics from Stanford University. His research primarily focuses on the interplay between product offerings and pricing. In particular, he studies how firms decide which products to offer and how these choices affect consumer choice and competition between firms. Harald J. van Heerde (“ The Sense and Non-Sense of Holdout Sample Validation in the Presence of Endogeneity ”) is a professor of marketing at the University of Waikato, Hamilton, New Zealand. In his research, he develops new econometric models to measure the effects of various elements of marketing strategy and tactics (price, promotion, advertising, innovation, assortment, loyalty programs) on purchase behavior and sales. His work has been awarded with the Paul E. Green Award, the William F. O'Dell Award (Journal of Marketing Research), and the IJRM Best Paper award, and it has been a best-paper award finalist for the Journal of Marketing Research or Marketing Science on 11 more occasions. He has been awarded prestigious national research grants both by the Netherlands Organisation for Scientific Research (2002–2006) and the New Zealand Royal Society (2010–2012; Marsden Fund 10-UOW-068). Dinah A. Vernik (“ Music Downloads and the Flip Side of Digital Rights Management ”) is an assistant professor of marketing at the Jesse H. Jones School of Business, Rice University. She graduated with a Ph.D. in business administration from Duke University in 2009. Her research interests lie in the area of quantitative marketing modeling. She applies economic concepts and a game theoretic approach to real-world marketing problems in order to provide insight and intuition about optimal pricing and distribution channel strategies. Wei Zhang (“ Understanding Responses to Contradictory Information About Products ”) is an assistant professor of marketing at Iowa State University's College of Business. He received his Ph.D. from Carnegie Mellon University; he was a consultant at McKinsey & Company and also worked in the pharmaceutical industry for Amgen and Bristol-Myers Squibb. His research interests include Bayesian statistics, pharmaceutical marketing, and sales-force management. His research has appeared in Management Science.