Robust product design and pricing
Year: 2025
Type: article
Abstract: We study design and pricing by a monopolist who has no information about the distributionof consumers’ tastes and maximizes her profit under the worst-case scenario. We show that heroptimal strategy takes a simple form of dividing the taste space into a finite number of equal lengthintervals and serving consumers on a randomly chosen interval. We obtain this resultby studying the dual problem of finding a distribution of consumers’ tastes that minimizesthe seller’s profit and establishing strong duality. The profit-minimizing distributions exhibita uniformity property, assigning equal probability mass to a finite number of partition cells ofequal width. Through the dual, we also determine the seller’s lowest profit in the Bayesiansetting, establish that it is strictly positive, and derive the set of achievable profits.
Source: Journal of Economic Theory
Authors: Kyungmin Kim, Nenad Kos
Institutions: Emory University, Bocconi University
Language: English
Subfield: Marketing
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $3,030
Award: G236313386
OpenAlex ID: W4416424255
