I'm trying to perform analysis on family building timing, for which I'm trying to estimate (particularly, the age distribution of first-time mothers, and I'm taking into account not every woman becomes a mother, which is why I'm using pointmass)
but i always get
I have tried to define weights when stset, but doesn't work any way. Any idea on why this happens? I've already taken a look at the manuals, but I found no answer. When I take out the weights or use weights but without pointmass it works just fine, but to model the process properly I would like to use both weights and pointmas.
Code:
fmm if cohorte==2 [w=fac_mod], lcprob(i.estado i.indigena i.niv_esc): (pointmass embarazo) (streg i.estado i.indigena i.niv_esc, distribution(lognormal))
Code:
Fitting class model:
__gsem_prod_arg1(): 3200 conformability error
_gsem_eval_cinfo__wrk(): - function returned error
_gsem_eval_cinfo(): - function returned error
mopt__calluser_v(): - function returned error
opt__eval_nr_v2(): - function returned error
opt__eval(): - function returned error
opt__looputil_iter0_common(): - function returned error
opt__looputil_iter0_nr(): - function returned error
opt__loop_nr(): - function returned error
opt__loop(): - function returned error
_moptimize(): - function returned error
_gsem_start__classid(): - function returned error
_gsem_start__factor(): - function returned error
_gsem_start__work_lc(): - function returned error
_gsem_start__work(): - function returned error
_gsem_start(): - function returned error
_gsem_build(): - function returned error
_gsem_parse(): - function returned error
st_gsem_parse(): - function returned error
<istmt>: - function returned error
r(3200);
I have tried to define weights when stset, but doesn't work any way. Any idea on why this happens? I've already taken a look at the manuals, but I found no answer. When I take out the weights or use weights but without pointmass it works just fine, but to model the process properly I would like to use both weights and pointmas.
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