Algorithmic Decisions and Market Efficiency: AI in Credit and Platform Markets

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer 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. Where to apply Website https://pica.cineca.it/luiss/art22-efim-45-2026/ . Requirements. Additional Information . Eligibility criteria. Eligible destination country/ies for fellows: . Italy. Eligibility of fellows: country/ies of residence: . OTHER. Eligibility of fellows: nationality/ies: . OTHER. Website for additional job details https://www.luiss.it/it/ateneo/governance/faculty/recruitment/contrattisti-di-r…. <h2