Abstract :
We study the properties of the multi-period-ahead least-squares forecast for the
stationary AR~1! model under a general error distribution+ We find that the forecast
is unbiased up to O~T 1 !, where T is the in-sample size, regardless of the
error distribution and that the mean squared forecast error, up to O~T 302 !, is
robust against nonnormality+
