Autonomous driving (AV) technology has elicited discussion on social dilemmas where trade-offs between individual preferences, social norms, and collective interests may impact road safety and efficiency. In this study, we aim to identify whether social dilemmas exist in AVs' sequential decision...

We examine how informational frictions impact schooling and work outcomes. To do so, we estimate a dynamic structural model where individuals face uncertainty about their academic ability and productivity, which respectively determine their schooling utility and wages. Our framework accounts for...

We analyze a repeated principal-agent setting in which the principal cares about the agent’s verifiable effort as well as an extra profit that can be generated only if the agent is talented. The agent is overconfident about his talent and updates beliefs using Bayes’ rule. An exploitation...

We provide a model of dark money in elections. An ideologically extreme donor with private information about candidate ideology and quality can advertise on behalf of a candidate. Advertising reveals information about candidate quality to voters, who can learn from either donor-funded or neutral...

We explore the performance of mixed-frequency predictive regressions for stock returns from the perspective of a Bayesian investor. We develop a constrained parameter learning approach for sequential estimation allowing for belief revisions. Empirically, we find that mixed-frequency models...

Three key variables determine the fair value estimates for financial assets: the current and future payoffs provided by the asset, the current and future short-term interest rates controlled by central banks, and the current and future excess returns - or short-term risk premia - required by...

Social learning (SL) is a behavioral model in which expectations and the resulting aggregate dynamics stem from the interactions of a large amount of heterogeneous agents. Nonetheless, this framework has so far lacked micro-foundations and a general-solution method. This paper bridges these two...

This paper proposes an heterogenous asset pricing model in which different classes of investors coexist and evolve, switching among strategies over time according to a fitness measure. In the presence of boundedly rational agents, with biased forecasts and trend following rules, rational or...