Neeraj Arora is 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 MBA, Ph.D. degrees from The Ohio State University. Neeraj’s research focuses on business problems that require econometric modeling of individual or group behavior. Most of this research builds upon psychological and microeconomic models of consumer choice that use Bayesian statistics. He serves on the editorial board of Journal of Marketing Research and Marketing Science. His papers have appeared in the Journal of Marketing Research, Marketing Science, Journal of Consumer Research, International Journal of Research in Marketing and Marketing Letters. Neeraj regularly presents his research at marketing conferences and has been associated with industry projects relating to customer needs assessment, market segmentation, new product design, joint decision making and CRM. His teaching interests include marketing strategy, marketing research and mathematical models of consumer behavior. Prior to entering academia, he worked as a marketing executive in the computer industry.
Published Research
Anocha Aribarg, Neeraj Arora and Moon Young Kang (2009) “Predicting Joint Choice Using Individual Data,” Marketing Science , forthcoming.
Neeraj Arora, Anindya Ghose, James D. Hess, Raghuram Iyengar, Bing Jing, Yogesh Joshi, V. Kumar, Nicholas Lurie, Scott Neslin, S. Sajeesh, Meng Su, Niladri Syam, Jacquelyn Thomas, Z. John Zhang (2008) “Putting One-to-One Marketing to Work: Personalization, Customization and Choice,” Marketing Letters, December, Vol 19, p.305.
Anocha Aribarg and Neeraj Arora (2008) “Brand Portfolio Promotions,” Journal of Marketing Research, August, p.391.
Anocha Aribarg and Neeraj Arora (2008) “Inter-Brand Variant Overlap: Impact on Brand Preference and Portfolio Profit,” Marketing Science, May/June, p. 474.
Neeraj Arora and Ty Henderson (2007) “Embedded Premium Promotion: Why it Works and How to Make it More Effective,” Marketing Science, Vol. 26, Number 4, p. 514-531.
Neeraj Arora (2006) “Estimating Joint Preference Using Data Imputation: A Sub-sampling Approach,” International Journal of Research in Marketing, Vol. 23, Issue 4, p. 409-418.
Eric T. Bradlow, Bart Bronnenberg, Gary J. Russell, Neeraj Arora, David R. Bell, Sri Devi Deepak, Frankel ter Hofstede, Catarina Sismeiro, Raphael Thomadsen and Sha Yang (2005) “Spatial Models in Marketing,” Marketing Letters, Vol. 16, Iss. 3-4; p. 267.
Greg Allenby, Neeraj Arora, Chris Diener, Jaehwan Kim, Mike Lotti and Paul Markowitz (2002), “Distinguishing Likelihoods, Loss Functions, and Heterogeneity in the Evaluation of Marketing Models,” Canadian Journal of Marketing Research, Volume 20.1, p.44-59.
Anocha Aribarg, Neeraj Arora and H. Onur Bodur (2002) “Understanding the Role of Preference Revision and Concession in Group Decisions”, Journal of Marketing Research, August, p.336-349.
Neeraj Arora and Joel Huber (2001) “Improving Parameter Estimates and Model Prediction by Aggregate Customization in Choice Experiments”, Journal of Consumer Research, September, p.273-283.
Neeraj Arora, and Greg M. Allenby (1999) “Measuring the Influence of Individual Preference Structures in Group Decision Making”, Journal of Marketing Research, November, p.476-487.
Michel Wedel, Wagner Kamakura, Neeraj Arora, Albert Bemmaor, Jeongwen Chiang, Terry Elrod, Rich Johnson, Peter Lenk, Scott Neslin and Carsten Stig Poulsen (1999) “Heterogeneity and Bayesian Methods in Choice Modeling,” Marketing Letters, 10:3, p.219-232.
Neeraj Arora, Greg M. Allenby and James L. Ginter (1998) “A Disaggregate Model of Primary and Secondary Demand”, Marketing Science, Vol. 17, No. 1, p. 29-44.
Greg M. Allenby, Neeraj Arora and James L. Ginter (1998),“On the Heterogeneity of Demand”, Journal of Marketing Research, August, p. 384-389.
Greg M. Allenby, Neeraj Arora and James L. Ginter (1995), “Incorporating Prior Knowledge into the Analysis of Conjoint Studies,” Journal of Marketing Research, May, p. 152-162.
