Personalized Pricing and Consumer Welfare
Jean-Pierre Dubé and
Sanjog Misra
Journal of Political Economy, 2023, vol. 131, issue 1, 131 - 189
Abstract:
We study the welfare implications of personalized pricing implemented with machine learning. We use data from a randomized controlled pricing field experiment to construct personalized prices and validate these in the field. We find that unexercised market power increases profit by 55%. Personalization improves expected profits by an additional 19% and by 86% relative to the nonoptimized price. While total consumer surplus declines under personalized pricing, over 60% of consumers benefit from personalization. Under some inequity-averse welfare functions, consumer welfare may even increase. Simulations reveal a nonmonotonic relationship between the granularity of data and consumer surplus under personalization.
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (17)
Downloads: (external link)
http://dx.doi.org/10.1086/720793 (application/pdf)
http://dx.doi.org/10.1086/720793 (text/html)
Access to the online full text or PDF requires a subscription.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ucp:jpolec:doi:10.1086/720793
Access Statistics for this article
More articles in Journal of Political Economy from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().