Any research or policy analysis in economics must be consistent with the time-series properties of observed macroeconomic data. Numerous previous studies of such time series reinforce the need to specify correctly a model's multivariate stochastic structure. This paper discusses in detail the...

Any research or policy analysis exercise in economics must be consistent with the time-series properties of observed macroeconomic data. This paper discusses in detail the specification of a six-variable vector error-correction forecasting model. We test for cointegration among those variables:...

We measure the relative contribution of the deviation of real activity from its equilibrium (the gap), “supply shock” variables, and long-horizon inflation forecasts for explaining the U.S. inflation rate in the post-war period. For alternative specifications for the inflation driving...

This analysis examines the long-run demand for the adjusted monetary base in the United States, 1919-1999. When the "price"of the base is measured by the inverse of the yield on long-term, high-quality corporate bonds and an appropriate functional form is selected, the quantity of base money...

In this paper, we examine the use of Box-Tiao*s (1977) canonical correlation method as an alternative to likelihood-based inferences for vector error-correction models. It is now well-known that testing of cointegration ranks based on Johansen*s (1995) ML-based method suffers from severe small...

The rational expectations revolution made clear that a complete macro model requires a specification of the government's economic policy. We argue that monetary policy should be conducted in such a way that the market can predict policy actions. An implication of market success in predicting...

This paper examines how recent changes in the U.S. financial system have affected the appropriate definition, construction and interpretation of the St. Louis adjusted monetary base and adjusted reserves. Since 1990, reductions in statutory reserve requirements have significantly reduced the...