On optimal instrumental variables estimation of stationary time series models

In many time series models, an infinite number of moments can be used for e stimation in a large sample. I supply a technically undemanding proof of a condition for optimal instrumental variables use of such moments in a param etric model. I also illustrate application of the condition in estimation o f a linear model with a disturbance that is serially uncorrelated and condi tionally heteroskedastic.