In this study, we propose a multi-agent model to examine bank lending and borrowing risk behaviors and their implications to interbank market dynamics. Using data from 2001 to 2014 that covers around U.S. 6600 banks, we model individual bank decisions using the temporal difference reinforcement...

A representative consumer uses Bayes' law to learn about parameters of several models and to construct probabilities with which to perform ongoing model averaging. The arrival of signals induces the consumer to alter his posterior distribution over models and parameters. The consumer's...

We investigate the trade-off between the risk-sharing gains enjoyed by more interconnected firms and the costs resulting from an increased risk exposure. We find that when the shock distribution displays "fat" tails, extreme segmentation into small components is optimal, while minimal...

Observational learning is typically examined when agents have precise information about their position in the sequence of play. We present a model in which agents are uncertain about their positions. Agents sample the decisions of past individuals and receive a private signal about the state of...

We investigate the trade-off between the risk-sharing gains enjoyed by more interconnected firms and the costs resulting from an increased risk exposure. We find that when the shock distribution displays “fat” tails, extreme segmentation into small components is optimal, while minimal...

We study the combined effects of revenue and cost uncertainty as well competition on the timing optimization of investments in complementarity inputs for duopoly markets where either spillover-knowledge is allowed or where proprietary-knowledge holds. For some input-sequencing investment...

Truancy correlates with many risky behaviors and adverse outcomes. We use detailed administrative data on by-class absences to construct social networks based on students who miss class together. We simulate these networks and use permutation tests to show that certain students systematically...

Truancy correlates with many risky behaviors and adverse outcomes. We use detailed administrative data on by-class absences to construct social networks based on students who miss class together. We simulate these networks and use permutation tests to show that certain students systematically...