Peter E. Rossi
To contact Peter E. Rossi, please email Stephanie Schwartz at St[email protected] or call +1.617.864.7900
In addition to his career in academia, Professor Rossi provides expert testimony in a variety of legal proceedings that involve statistical analysis, survey sampling, marketing and pricing, trademark and patent infringement, antitrust, valuation of lost personal and business income, and job discrimination. He has consulted on behalf of several large organizations on his areas of expertise, as well.
Professor Rossi has published widely in leading marketing, economics, statistics, and econometrics journals, including Marketing Science, Quantitative Marketing and Economics, and the Journal of Law and Economics. He is a co-author of Bayesian Statistics and Marketing, and author of Bayesian Semi and Non-parametric Methods in Marketing and Micro-Econometrics. Professor Rossi authored the contributed R package, bayesm, which is part of the R core and implements many methods useful in marketing and micro-econometrics. Further, he has been named a fellow of the American Statistical Association and the Journal of Econometrics.
In an editorial capacity, Professor Rossi is currently the senior editor for Marketing Science, has worked as the founding editor of Quantitative Marketing and Economics, and has served as past associate editor for the Journal of the American Statistical Association, Journal of Econometrics, and Journal of Business and Economic Statistics.
During his time at the University of Chicago, he founded the Kilts Center for Marketing at the University of Chicago, Booth School of Business, which was established to enhance the research environment and facilitate thought leadership among the business school's marketing faculty.
Published in the American Intellectual Property Law Association (AIPLA) Quarterly Journal
This article reviews the economic framework behind the calculation of reasonable royalty damages and explain how to implement two key methods of computing these damages—referred to as the Market Share Method (“MSM”) and the Equilibrium Profit Method (“EPM”).
Computing Damages in Product Mislabeling Cases: Plaintiffs’ Mistaken Approach in Briseno v. ConAgra
February 27, 2017
Published in Bloomberg Bureau of National Affairs (BNA)