Hi Kit
Would you consider a sample size of 168 small, and as such any
inferences drawn on the basis of LM or LLR instead of Wald
could be wrong?
Stephen
Christopher F Baum wrote:

On Dec 30, 2003, at 2:33 AM, Richard wrote:

Thanks Kit. Getting back to the original question, Stephen had asked

If I use the "test" command after estimation, the results reported by
Stata is in F-distribution, but I want the results to be reported in
chi-square distribution with its associated p-value.

If it is simply a matter of him preferring to report chi-squares rather

than F values, then rather than go through the tedium of -lrtest-,
could he

just take the F value reported by test, and compute

chi-squared = (numerator degrees of freedom) * F

That seems to be the implication of this FAQ from Stata on chi-square
versus F:

http://www.stata.com/support/faqs/stat/wald.html

Indeed, that simple solution answers Stephen's original question. Your
earlier response proposed switching from Wald to likelihood ratio tests.
Asymptotically, all three tests are the same. In small samples, one may
draw different inferences, depending on whether the Wald, LM or LLR
tests are used.

Kit

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