How do AI-powered dynamic pricing algorithms influence market outcomes, particularly in terms of competition, consumer welfare and firm behavior
Abboud, Cherine (A.A. 2024/2025) How do AI-powered dynamic pricing algorithms influence market outcomes, particularly in terms of competition, consumer welfare and firm behavior. Tesi di Laurea in Microeconomics, Luiss Guido Carli, relatore Luigi Marengo, pp. 71. [Bachelor's Degree Thesis]
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Abstract/Index
Theoretical foundations and disruption of classical microeconomics. AI and the transformation of pricing theory. Consumer behavior, elasticity and surplus in AI pricing. Classical price discrimination and AI-driven hybrid models. AI and market structures: monopoly, oligopoly and collusion potential. Limitations of classical models and the rise of algorithmic economics. Methodological framework: mixed methods for algorithmic markets. Justification of mixed-methods design. Comparative case study design: Uber and Amazon. Firm background and strategic relevance. Simulation model architecture and assumptions. Data design and behavioral assumptions in simulation. Empirical and simulated evidence: case study findings and model results. Empirical method and transition. Uber case study analysis. Amazon case study analysis. Simulation results: price evolution, surplus effects, collusion dynamics. Interpretation of empirical and simulated insights. Policy, regulation and ethical analysis. AI pricing and market power: beyond optimization. Transparency, fairness and algorithmic accountability. Collusion detection and antitrust law in algorithmic environments. Regulatory instruments: from audits to sandboxes. Cross-sectoral implications: energy, insurance and digital goods.
References
Bibliografia: pp. 69-71.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Management and Computer Science, English language (L-18) |
| Chair: | Microeconomics |
| Thesis Supervisor: | Marengo, Luigi |
| Academic Year: | 2024/2025 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 14 May 2026 07:30 |
| Last Modified: | 14 May 2026 07:30 |
| URI: | https://tesi.luiss.it/id/eprint/45710 |
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