Peter Rossi

James A. Collins Chair in Management, Distinguished Professor of Marketing, Economics and Statistics




Peter E. Rossi is James Collins Professor of Marketing, Economics and Statistics at the UCLA Anderson School of Managment, UCLA. He received his Ph.D. from University of Chicago and B.A. from Oberlin College.

He has published widely in marketing, economics, statistics and econometricsin journals that include Quantitative Marketing and EconomicsMarketing ScienceJournal of Marketing ResearchAmerican Economic ReviewJournal of the American Statistical AssociationEconometrica, Journal of Political EconomyJournal of EconometricsBiometrikaJournal of Business and Economic StatisticsRand Journal of Economics and Journal of Economic Theory. These articles have more than 14,000 Google Scholar cites. He is a co-author of Bayesian Statistics and Marketing in the John Wiley Series in Probability and Statistics (2005) and author of Bayesian Semi and Non-parametric Methods in Marketing and Micro-Econometrics (Princeton University Press, 2014). He is author of the contributed R package, bayesm, which is part of the R core and implements many methods useful in marketing and micro-econometrics.

Rossi founded the Kilts Center for Marketing at the Booth School of Business at University of Chicago while on faculty there.

His areas of research interest include pricing and promotion, target marketing, direct marketing, micro-marketing, limited dependent variable models and Bayesian statistical methods. A fellow of the American Statistical Association and the Journal of Econometrics, he is founding editor of Quantitative Marketing and Economics, and past associate editor for Journal of the American Statistical AssociationJournal of Econometrics and Journal of Business and Economic Statistics. Rossi is currently senior editor for Marketing Science.

His work in the area of target marketing presaged many of the developments in targeting as practiced today in electronic couponing and by web-based retailers. His work in data-based pricing and methods for estimation of high-dimensional demand systems influenced the development of analytic pricing tools. His work on Bayesian hierarchical choice models created the most widely used methods for analysis of choice and conjoint data used today and embodied in software from CRAN, SAS and Sawtooth Software.



Ph.D. Econometrics, 1984, University of Chicago

MBA Management Science, 1980, University of Chicago

B.A. Mathematics and History, 1976, Oberlin College



P. Rossi, G. Hitsch and JP Dube. (Forthcoming 2016). Income and Wealth Effects on Private-Label Demand: Evidence from the Great Recession. Marketing Science, [ Link ]

P. Rossi, G. Allenby, J. Howell, and J. Brazell. (2014). Economic Valuation of Product Features. Quantitative Marketing and Economics12, 4, 421-456. [ Link ]

P. Rossi. (2014). All Roads Lead to Arnold. Econometric Reviews33, 1-4, 421-423. [ Link ]

P. Rossi. (2014). Even the Rich Can Make Themselves Poor: a critical examination of the use of IV methods in marketing. Marketing Science, Vol. 33, No. 5655-672.. [ Link ]

P. Rossi, G. Allenby, J. Howell, and J. Brazell. (2014). Valuation of Patented Product Features. Journal of Law and Economics57, 629-663. [ Link ]


Working Papers and Technical Reports