Quality Dynamics in Regulated Oligopsony Markets With Reputation Systems

This paper develops a comprehensive theoretical framework for analyzing quality dynamics in oligopsony markets where numerous producers compete for limited consumer attention under information asymmetries. Motivated by artificial intelligence marketplaces and similar digital platforms, we establish existence and uniqueness conditions for optimal quality provision by heterogeneous producers and prove that posterior reputation estimates converge to accurate quality assessments at rate [Formula: se