This paper considers regression-based tests for encompassing, when none of the models under consideration encompasses all the other models. For both in- and out-of-sample applications, I derive asymptotic distributions and propose feasible procedures to construct confidence intervals and test...

In many time series models, an infinite number of moments can be used for estimation in a large sample. I supply a technically undemanding proof of a condition for optimal instrumental variables use of such moments in a parametric model. I also illustrate application of the condition in...

A þT consistent estimator of a heteroskedasticity and autocorrelation consistent covariance matrix estimator is proposed and evaluated. The relevant applications are ones in which the regression disturbance follows a moving average process of known order. In a system of þ equations, this...

Econometric aspects of recent research on inventory models are surveyed. The discussion emphasizes issues relevant to instrumental variables estimation of a first order condition of the Holt et al. (1960) linear quadratic inventory model, including choice of instruments, covariance matrix...

An aggregate demand - aggregate supply framework is used to analyze the effects of Japanese monetary policy, 1973:1-1990:8. It is found that money supply shocks contribute relatively little to output variability over the sample as a whole. Nor do these shocks seem to be particularly marked...

A simple real model is used to decompose movements of aggregate inventories and output in Japan during 1975 to 1987 to three components, one due to cost shocks, one due to demand shocks, and one due to' shocks from abroad. Cost shocks are estimated to account for about one tenth of the movement...