Algorithmic Decisions and Market Efficiency: AI in Credit and Platform Markets
Posted on: 14/05/2026
Deadline: 18/06/2026
Scientific-Disciplinary Group
13/ECON-01 - Economics
Description
This project studies how artificial intelligence (AI) adoption affects market outcomes in the presence of market failures. We focus on two settings. First, we examine financial markets where banks with market power face asymmetric information about borrowers. By integrating reinforcement-learning algorithms into a structural model of credit supply and demand, we assess how AI pricing tools alter equilibrium prices, credit allocation, and risk exposure. Second, we analyze online platforms where AI recommender systems shape user interactions. We model how these systems generate externalities—both user- and platform-driven—affecting content diversity and welfare. Combining structural modeling and counterfactual simulations, the project quantifies how AI changes equilibria and provides policy insights on financial stability and digital market regulation.
Compensation
28,456 Euro
Job posting website
Number of positions
1
Maximum duration
24.0
Funding body
Luiss Guido Carli
How to apply
View the original posting on the MUR website: Go to MUR website