We document that even though the normal distribution provides a good approximation to GDP fluctuations, it severely underpredicts “macroeconomic tail risks,” that is, the frequency of large economic downturns. Using a multi-sector general equilibrium model, we show that the interplay of...

The response of aggregate labor supply to various changes in the economic environment is central to many economic issues, especially the optimal design of tax policies. This paper surveys recent work that uses structural models and micro data to evaluate the size of this response. Whereas the...

We use a micro-founded macroeconometric modeling framework to investigate the design of monetary policy when the central bank faces uncertainty about the true structure of the economy. We apply Bayesian methods to estimate the parameters of the baseline specification using postwar U.S. data, and...

The notion that business cycles are driven by demand shocks is subtle. I first review some of the conceptual and empirical challenges faced when trying to accommodate this notion in micro-founded, general-equilibrium models. I next review my own research, which sheds new light on the observed...

I show that the indivisible labor' models of Diamond and Mirrlees (1978, 1986), Hansen (1985), Rogerson (1988), Christiano and Eichenbaum (1992), and many others are, when aggregated across persons with the same marginal utility of income, equivalent to the divisible labor model of Lucas and...

This chapter studies how incomplete information helps accommodate frictions in coordination, leading to novel insights on the joint determination of expectations and macroeconomic outcomes. We review and synthesize recent work on global games, beauty contests, and their applications. We...

The role of inventories in making prices "sticky" is studied by analyzing a dynamic linear-quadratic model of a monopoly firm facing stochastic demand, but able to store its finished goods in inventory. It is shown that, in contrast to the usual presumption, firms that exhibit the smallest...