This paper presents a small-scale macroeconometric time-series model that can be used to generate short-term forecasts for U.S. output, inflation, and the rate of unemployment. Drawing on both the Bayesian VAR and vector error corrections (VEC) literature, the author specifies the baseline model...

In this paper the authors argue that a plausible reason why output and other major U.S. macroeconomic time series seem to follow a Markov switching process might be strictly related to expectations. The authors show that a time series of expectations of future output from the Survey of...

We develop a new class of nonlinear time-series models to identify nonlinearities in the data and to evaluate nonlinear DSGE models. U.S. output growth and the federal funds rate display nonlinear conditional mean dynamics, while inflation and nominal wage growth feature conditional...

The authors propose a constructive, multivariate framework for assessing agreement between (generally misspecified) dynamic equilibrium models and data, which enables a complete second-order comparison of the dynamic properties of models and data. They use bootstrap algorithms to evaluate the...

This paper uses time-series techniques to examine whether monetary policy has similar effects across U.S. states during the 1958-92 period. Impulse response functions from estimated structural vector autoregression models reveal differences in state policy responses, which in some cases are...