It presents results from the estimate.functional estimation as summary does for the lm or gmm class objects for example. It also computes the test of overidentifying restrictions.
## S3 method for class 'pointfore'summary(object,...)
Arguments
object: An object of class pointfore
...: Other arguments when summary is applied to another class object
Returns
It returns a list with the parameter estimates and their standard deviations, t-stat and p-values. It also returns the J-test and p-value for the null hypothesis that the forecast is generated by the postulated functional with an information set that contains the instruments.
Examples
# estimate.functional generates a pointfore object...res <- estimate.functional(Y=GDP$observation, X=GDP$forecast,model=constant,instruments="const")# ...which can be summarized with the \code{summary} function.summary(res)