When you fit a fixed-effects model, you obtain an F test for no fixed effects as part of the output. The null hypothesis of that test is that all fixed effects are jointly 0; it is obtained by comparing fixed-effects estimates to those from pooled regression. The F statistic is
where is the error sum of squares from the restricted model (pooled regression) and
is the error sum of squares from the unrestricted fixed-effects model.
The numerator degrees of freedom, , equals
for one-way models and
for two-way models. The denominator degrees of freedom,
, is equal to the error degrees of freedom from the fixed-effects estimation. If you specify the NOINT option, add 1 to
to account for the added restriction to the pooled regression.