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Algorithmic Pricing Models Can Lead to Supra-Competitive Prices

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a theoretical framework to understand how simple algorithmic pricing systems can lead to supra-competitive prices in multi-firm markets. Their model, which uses an explore-then-exploit pipeline with misspecified demand estimation, shows that prices can exceed Nash equilibrium levels when firms explore similar price ranges. The study suggests that under symmetric exploration, prices could even reach monopoly levels, and simulations on a real-world rental market indicate these outcomes are robust. AI

IMPACT This research provides theoretical insights into how algorithmic pricing, potentially AI-driven, could lead to market inefficiencies and higher prices.

RANK_REASON The cluster contains an academic paper detailing a theoretical model and simulation results. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Algorithmic Pricing Models Can Lead to Supra-Competitive Prices

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The cluster contains an academic paper detailing a theoretical model and simulation results. [lever_c_demoted from research: ic=1 ai=0.7]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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paper, other
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High
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139 days old
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Farrell Wu ·

    Misspecified Explore-then-Exploit Leads to Supra-Competitive Prices

    We study whether simple algorithmic pricing systems can systematically produce collusive-like prices in multi-firm markets. We consider firms using an explore-then-exploit pipeline: they randomize prices during an initial exploration phase, then estimate demand from their own his…

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