In this paper we develop nonparametric estimators of the joint time series data generating process (DGP) of (<italic>x</italic>, <italic>y</italic>) at different <italic>t</italic>-values, of conditional DGP, of the conditional mean of <italic>x</italic> given the past values of <italic>x</italic> and <italic>y</italic>, and, more generally, the conditional mean of (<italic>x</italic>, <italic>y</italic>) given their past values...

We examine a simple estimator for the multivariate moving average model based on vector autoregressive approximation. In finite samples the estimator has a bias which is low where roots of the characteristic equation are well away from the unit circle, and more substantial where one or more...

This paper provides a critical survey of the methods employed to model the effects of risk in econometric models. Most of the popular methods are shown to suffer from errors-in-variables bias, and an instrumental variable method is suggested to overcome this problem. The technique exploits the...