Study Examines Whether Pricing Algorithms Should Monitor Competitor Prices to Avoid Collusion
Researchers analyzed whether pricing algorithms should explicitly incorporate competitor prices when learning demand, comparing 'oblivious' (ignoring competitors) versus 'informed' (monitoring competitors) approaches. The study found that while oblivious pricing can create temporary collusive patterns, these are not sustained and informed sellers consistently outperform oblivious ones in competitive markets. The findings suggest that incorporating competitor information with sufficient price exploration remains the optimal strategy for sellers.
A new theoretical study examines a fundamental question in algorithmic pricing: whether sellers should deliberately ignore competitor prices when setting their own prices. The research models a competitive market where multiple sellers repeatedly set prices and learn demand through least squares estimation, comparing two strategies—informed sellers who monitor competitors and oblivious sellers who ignore them. The analysis reveals that oblivious sellers must explore prices more aggressively to compensate for missing competitor information, and while this can temporarily create collusive pricing patterns, these patterns dissipate as learning progresses. When markets contain both types of sellers, informed sellers consistently earn higher profits. The study concludes that the Nash equilibrium outcome is an all-informed market where prices converge efficiently to competitive levels, suggesting that incorporating competitor information alongside sufficient price exploration is the most reliable strategy for sellers in competitive markets.
What's missing
The study's limitations and scope constraints are not detailed in the abstract provided. The research appears to be theoretical modeling in a stylized market setting; empirical validation against real-world pricing data and the applicability of findings to markets with different structural characteristics (e.g., highly concentrated industries, regulated sectors, or markets with information asymmetries) remain open questions.
What different sources said
- arXiv cs.AICenter
Supracompetitive Pricing Under AI Monoculture
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