On Sat, 7 Feb 2009, Allin Cottrell wrote:
[Auto-integration of forecasts] is now implemented on a trial
basis in CVS/snapshot, but only for single-equation OLS at this
point.
Follow-up: At present, we produce forecast standard errors in this
case only if the model contains no dynamics (other than the
dynamics implied by the fact that the dependent variable is a
first difference). And in producing the standard errors we (a)
ignore parameter uncertainty and (b) assume a white-noise error
process. On that basis, we calculate
se(k) = sqrt(k*s2)
where k = 1,2,...n is the forecast step and s2 is the square of
the Standard Error of the Regression.
If this is rubbish -- or if there is a clearly better way to
proceed -- I hope Jack or Sven will tell me so!
Allin.