Brian wants to know how to handle non-integer weights in the contract
statement.
The survey programs need the sum of the weights for each grouped
obserrvation
In a separate step, create the SUM of the weights within each cross-tab
group:
e.g.
egen new_wt=sum(analwt_c), by( cigever alcever mjever)
tempfile t1
keep cigever alcever mjever new_wt
sort cigever alcever mjever
save `t1', replace
use original data
contract cigever alcever mjever, freq(count)
sort cigever alcever mjever
merge cigever alcever mjever using `t1' // or see neat ado file
"mmerge"
tab _merge
drop _merge
save.....
Now run svy poisson
However, note that svy poisson does not do multinomial log-linear
modeling, but weights with Poisson weights. So these are not quite the
same as you would get with a standard log-linear model program, but
the differences between log-likelihoods should be similar.. See "ipf"
by J. Mander, which states that it uses a multinomial weighting.
Steve Samuels
Only fweights are allowed qua weights. But you
can specify non-integer variables, even string
variables, in the varlist.
If pweights are not constant within cells
of your cross-classification, what happens
in terms of the -glm- call?
Nick
[email protected]
Brian P. Flaherty
> > I think that -contract- leading to -glm- is indeed the
> > best route. One of the details of -contract-, the -zero-
> > option, was included with this very task in mind.
>
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