Dear Statalist,
I'm estimating a mincer wage equation:
ln wage = sex + age + agesq ...
The data set I'm using comes with a population weight variable, so I estimate:
reg lnwage sex age agesq [fweight=calwght]
The data set is supposed to be a 1% sample of the working population
in the economy. The variable "calwght" carries the number of person
each observation is supposed to represents (given their age group,
occupations, etc). Calwght has 5 digits behind the decimal point and
-fweight- is designed to work with only integers. So I thought if I
mulitply calwght with 100,000 I can plug the variable right back in
and use it with the -fweight- option. But my plan doesn't work - I
hit the error code r(1400), which says that I am "estimating a model
with more than 2,147,483,647 effective observations", which isn't
allowed on Stata.
So now I have a few questions:
(1) am I correct in trying to use -fweight if calwght were an integer variable?
(2) should I use -iweight- instead?
(3) or should I take the inverse of the calwght and use it with
-pweight- instead?
Please post any suggestion you can think of.
Many thanks in advance!
Cheers,
Ada
--
Ada Ma
Research Fellow
Health Economics Research Unit
University of Aberdeen, UK.
http://www.abdn.ac.uk/heru/
Tel: +44 (0) 1224 553863
Fax: +44 (0) 1224 550926
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