Peter Rossi

About

Peter Rossi is the James A. Collins Distinguished University Professor of Marketing, Economics, and Statistics at the UCLA Anderson School of Management. He received his PhD in Econometrics from the University of Chicago and his BA from Oberlin College. His research interests include pricing and promotion, target marketing, direct marketing, limited dependent variable models, and Bayesian statistical methods. Rossi has published extensively across multiple disciplines, including marketing, economics, statistics, and econometrics, with articles cited over 18,000 times. He is a co-author of the book Bayesian Statistics and Marketing and author of Bayesian Semi and Non-parametric Methods in Marketing and Micro-Econometrics. Rossi is also known for developing the R package bayesm, which is widely used in marketing and micro-econometrics. He founded the Kilts Center for Marketing at the University of Chicago and has served in various editorial roles, including founding editor of Quantitative Marketing and Economics. His work has significantly influenced targeted marketing practices, data-based pricing, and choice modeling, making him a prominent figure in his field.

Research topics

• Computer Science
• Mathematics
• Statistics
• Artificial Intelligence
• Machine Learning
• Data Mining
• Mathematical optimization
• Econometrics
• Algorithm
• Marketing

Selected publications

• The Value of Flexible Work: Evidence from Uber Drivers

  Journal of Political Economy · 2018-12-13 · 382 citations

  article

  Technology has facilitated new, nontraditional work arrangements, including the ride-sharing company Uber. Uber drivers provide rides anytime they choose. Using data on hourly earnings and driving, we document driver utilization of this real-time flexibility. We propose that the value of flexibility can be measured as deriving from time variation in the drivers' reservation wage. Measuring time variation in drivers' reservation wages allows us to estimate the surplus and labor supply implication…

  PublisherDOI

• Income and Wealth Effects on Private-Label Demand: Evidence from the Great Recession

  Marketing Science · 2018-01-01 · 97 citations

  articleSenior author

  We measure the causal effects of income and wealth on the demand for private-label products. Prior research suggests that these effects are large and, in particular, that private-label demand rises during recessions. Our empirical analysis is based on a comprehensive household-level transactions database matched with price information from store-level scanner data and wealth data based on local house value indices. The Great Recession provides a key source of the variation in our data, showing a…

  PublisherDOI

• Handbook of the Economics of Marketing

  2019-01-01 · 48 citations

  bookSenior author
  Publisher

• Economic foundations of conjoint analysis

  Handbook of economics marketing · 2019-01-01 · 25 citations

  book-chapterSenior authorCorresponding
  PublisherDOI

• State-Dependent Demand Estimation with Initial Conditions Correction

  Journal of Marketing Research · 2020 · 20 citations

  Senior authorCorresponding

  The authors analyze the initial conditions bias in the estimation of brand choice models with structural state dependence. Using a combination of Monte Carlo simulations and empirical case studies of shopping panels, they show that popular, simple solutions that misspecify the initial conditions are likely to lead to bias even in relatively long panel data sets. The magnitude of the bias in the state dependence parameter can be as large as a factor of 2–2.5. The authors propose a solution to the…

  PublisherDOI

Frequent coauthors

• Greg M. Allenby

  The Ohio State University

  59 shared

• Jean‐Pierre Dubé

  52 shared

• Timothy G. Conley

  37 shared

• Christian Hansen

  University of Chicago

  37 shared

• Günter J. Hitsch

  University of Chicago

  22 shared

• Robert E. McCulloch

  16 shared

• Éric Jacquier

  15 shared

• Judith A. Chevalier

  University of Nevada, Las Vegas

  12 shared

Awards & honors

• Fellow of the American Statistical Association
• Fellow of the Journal of Econometrics

Similar researchers at University of California, Los Angeles

• Hal Hershfieldh-35
• Cassie Mogilner Holmesh-27
• Anand V. Bodapatih-20