Horvath and Verbrugge (1996) argue that when investigating the sources of aggregate fluctuations, it is important to use the highest frequency data available. Using monthly data for the U.S. economy they show that industry-specific shocks are more important in explaining fluctuations in...

The analysis uses data from the March Current Population Survey to estimate state-level cross-section/time-series models of the effects of unemployment on alternative poverty indexes. The indexes include the official headcount rate and alternatives based on improved identification and...

In a recent influential paper, Shimer uses CPS duration and gross flow data to draw two conclusions: (1) separation rates are nearly acyclic; and (2) separation rates contribute little to the variability of unemployment. In this paper the authors assert that Shimer's analysis is problematic, for...

Commercial banks leverage their equity capital with demandable debt that participates in the economy's payments system. The distinctive nature of this debt generates an unusual degree of liquidity risk that can, at times, threaten the payments system. To reduce this threat, insurance protects...

The time series fit of dynamic stochastic general equilibrium (DSGE) models often suffers from restrictions on the long-run dynamics that are at odds with the data. Relaxing these restrictions can close the gap between DSGE models and vector autoregressions. This paper modifies a simple...

Though built with increasingly precise microfoundations, modern optimizing sticky price models have displayed a chronic inability to generate large and persistent real responses to monetary shocks, as recently stressed by Chari, Kehoe, and McGrattan [2000]. This is an ironic finding, since...

Motivated by recent developments in the bounded rationality and strategic complementarity literatures, we examine an intentionally simple and stylized aggregative economic model when the assumptions of fully rational expectations and no strategic interactions are relaxed. We show that small...