Matteo Ottaviani is a researcher of a joint research project between the National Research Council of Rome and Ca’ Foscari University of Venice. The completion of his PhD in Applied Mathematics at Scuola Normale Superiore of Pisa is expected by the end of this year. The core investigated concepts of his PhD research project are the role of individual boundedly rational expectations in economic models and the strategies carried out to adaptively update them. The latter have been studied from three different perspectives by means of agent-based modeling: informational asymmetries among agents in a pure exchange economy; misspecified models employed by Bayesian and sub-Bayesian agents in a security market economy; robust methods for decision making in stylized financial markets. Lately, he has been carrying on a project at Max Planck Institute for Human Development of Berlin about the impact of A/B testing on user autonomy in online environments, how it scales up to collective behavior and the viability of nudging and boosting interventions.
Market structure or agent rationality: How efficiency trades with belief updating?