We consider a large class of social learning models in which a group of agents face uncertainty regarding a state of the world, share the same utility function, observe private signals, and interact in a general dynamic setting. We introduce Social Learning Equilibria, a static equilibrium...

We consider an overlapping generation framework with search and private information to study optimal taxation. Agents sequentially trade in markets that are characterized by different frictions and trading protocols. In frictional decentralized markets, agents receive shocks that determine if...

Empirical evidence points to moderate inflation during stock market booms. To explain it and study optimal monetary policy in such a situation, this paper develops a dynamic model with rational bubbles and nominal rigidities. The model features a financial cost channel through which the shadow...

In this paper we analyze a descriptive endogenous growth model with public debt. The government can run into debt, but, the primary surplus is a positive function of the debt to GDP ratio such that the debt ratio becomes a mean-reverting process. We show that a balanced budget scenario yields a...

Major carbon-pricing systems in Europe and North America involve multiple jurisdictions (countries or states). Individual jurisdictions often pursue additional initiatives—such as unilateral carbon price floors, legislation to phase out coal, aviation taxes or support programs for renewable...

This paper shows that in a perfectly stationary physical environment of the labor market, moral hazard and competition in long-term contracts can generate cycles in the tightness of the market, which in turn may induce job creation and destruction, and two periods or much longer cycles in...

Reforms which seek to overhaul the Dodd-Frank Act have begun to gain support within the Trump Administration and Congress. The leading proposals go beyond technical matters and reflect a wholesale critique: financial regulation has become too burdensome, too complex, and grants too much...