This paper develops a forecasting procedure based on a Bayesian method for estimating vector autoregressions. We apply the procedure to 10 macroeconomic variables and show that it produces more accurate out-of-sample forecasts than univariate equations do. Although cross-variable responses are...

Using optimal control theory and a vector autoregressive representation of the relationship between money and interest rates, one can derive a feedback control procedure which defines the best possible tradeoff between money supply fluctuations and interest rate volatility and which could be...

This paper describes a technique for distributing quarterly time series across monthly values. The method generalizes an approach described by Fernandez (1981). The paper also presents results of a test of the accuracy of these two approaches and two standard procedures suggested by Chow and Lin...

The claim that bad money drives out good is one of the oldest and most cited in economics. Economists refer to this claim as Gresham’s law. Yet despite its seemingly universal acceptance, this claim does not warrant its status as a law. We find it has no convincing explanations and many...

Replaced by Working Paper 274 (July 1985)

This paper describes a Bayesian specification procedure used to generate a vector autoregressive model for forecasting macroeconomic variables. The specification search is over parameters of a prior. This quasi-Bayesian approach is viewed as a flexible tool for constructing a filter which...

This paper surveys recent issues in macroeconomics from the viewpoint of dynamic economic theory. The need to look beyond demand and supply curves and the insights that come from doing so are emphasized. Examples of issues in debt management and fiscal policy are analyzed.