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Re: st: Wald test limit?
I fitted the same three models using poisson instead of nbreg. The results:
Actual nbreg poisson
261 255 253
262 257 253
263 257 256
So the answer would appear to be no.
("actual" is parameters fitted excluding _cons and, for nbreg, alpha).
Keith
At 01:44 PM 6/02/2008, someone wrote offlist:
Hi Keith,
Is it perculiar to nbreg?
Are the df correct if you replace nbreg with poisson?
At 01:14 PM 6/02/2008, you wrote:
Good idea. This is what happened:
xi: nbreg rrv_count (i.fin_year) $BASE, exposure(person_days) cl(pcode)
gen x1=uniform()
xi: nbreg rrv_count (i.fin_year) $BASE x1, exposure(person_days) cl(pcode)
gen x2=uniform()
xi: nbreg rrv_count (i.fin_year) $BASE x1 x2, exposure(person_days) cl(pcode)
The first model reports Wald chi2 on 255df, the second 257, the
third also 257! Parameters for x1 and x2 (and the rest) are all
estimated ok, so the models actually have 262, 263 and 264 linear
parameters resp., including _cons.
So clearly it's not that 256 is a limit, but something odd is happening.
(The 256 mentioned before came from the stepwise run, I think I had
those the wrong way round.)
Keith
At 11:57 AM 6/02/2008, you wrote:
How about tossing a few more variables in - and see if the d.f.
stays at 256? That would indicate whether there actually is a
limit you are running up against.
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
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