We study the Green and Lin (2003) model of financial intermediation with two new features: traders may face a cost of contacting the intermediary, and consumption needs may be correlated across traders. We show that each feature is capable of generating an equilibrium in which some (but not all)...

We study bank supervision by combining a theoretical model that distinguishes supervision from regulation and a novel dataset on work hours of Federal Reserve supervisors. We highlight the trade-offs between the benefits and costs of supervision and use the model to interpret the relationship...

Central banks have become increasingly communicative. An important reason is that democratic societies expect more transparency from public institutions. Central bankers, based on empirical research, also believe that sharing information has economic benefits. Communication is seen as a way to...

We study dynamic signaling when the informed party does not observe the signals generated by her actions. A forward-looking sender signals her type continuously over time to a myopic receiver who privately monitors her behavior; in turn, the receiver transmits his private inferences back through...

We study the early stages of firm creation under imperfect information. Because startups make error-prone decisions due to rational inattention, the model generates both inefficient entry and labor misallocation. We show that information frictions alter the effects of lump-sum transfers to...

We develop a new methodology to estimate the impact of a financial transaction tax (FTT) on financial market outcomes. In our sequential trading model, there are price-elastic noise and informed traders. We estimate the model through maximum likelihood for a sample of sixty New York Stock...

We develop a new methodology for estimating the importance of herd behavior in financial markets. Specifically, we build a structural model of informational herding that can be estimated with financial transaction data. In the model, rational herding arises because of information-event...

The decentralized nature of blockchain markets has given rise to a complex and highly heterogeneous market structure, gaining increasing importance as traditional and decentralized (DeFi) finance become more interconnected. This paper introduces the DeFi intermediation chain and provides...