Aggregate time series provide evidence of short term dynamic adjustment that appears to be governed by complex or negative real eigenvalues. This finding is at odds with the predictions of reasonably parameterized, convex one-sector growth models with complete markets. We study life cycle...

Using a Bayesian model comparison strategy, we search for a volatility reduction within the post-war sample for the growth rates of U.S. aggregate and disaggregate real GDP. We find that the growth rate of aggregate real GDP has been less volatile since the early 1980s, and that this volatility...

We derive a simplified version of the model of Fudenberg and Levine [2006, 2011] and show how this approximate model is useful in explaining choice under risk. We show that in the simple case of three outcomes, the model can generate indifference curves that “fan out” in the Marshack-Machina...

A pair of simple modifications-in the forecast error and forecast error variance-to the Kalman filter recursions makes possible the filtering of models in which one or more state variables is truncated normal and latent. Such recursions are broadly applicable to macroeconometric models, such as...

In this paper we provide international evidence on the issue of whether the optimizing IS equation is more stable than a backward-looking alternative. The international evidence consist of estimates of IS equations on quarterly data for the UK and Australia, both for the full sample of the last...

Structural vector autoregression (SVAR) models are commonly used to investigate the effect of structural shocks on economic variables. The identifying restrictions imposed in many of these exercises have been criticized in the literature. This paper extends this literature by showing that if the...

A number of studies have documented a reduction in aggregate macroeconomic volatility beginning in the early 1980s. Using an empirical model of business cycles, we extend this line of research to state-level employment data and find significant heterogeneity in the timing and magnitude of the...

We explore the influence of city-level business cycle fluctuations on crime in 20 large cities in the United States. Our monthly time series analysis considers seven crimes over an approximately 20-year period: murder, rape, assault, robbery, burglary, larceny, and motor vehicle theft. Short-run...

We investigate the global dynamics of RBC models with production externalities. We confirm that purely local analysis does not tell the full story. With externalities smaller than required for local indeterminacy, local analysis shows the steady state to be a saddle, implying a unique...

This comment discusses Harding and Pagan's (2007) article that advocates modeling the NBER business cycle chronology as the outcome of the two-quarter rule. The comment shows that the two-quarter rule does not fare well as a description of the decision-making of the NBER with real-time data...