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st: RE: Fillin missing values, probability for new value
Hi Pamela,
You could do:
replace st = 1 if runif()<prob1 & st==.
replace st = 2 if st==.
This will ensure that you get each code with the right probability.
Even better would be to make multiple completed datasets this way. If you type -findit multiple imputation- you find several tools that help you analyse multiply imputed datasets.
HTH,
Maarten
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting adress:
Buitenveldertselaan 3 (Metropolitan), room Z214
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
-----Original Message-----
From: [email protected] [mailto:[email protected]]On Behalf Of Pamela Mueller
Sent: woensdag 18 januari 2006 17:29
To: [email protected]
Subject: st: Fillin missing values, probability for new value
I need to fill in missing values in my dataset. For most sectors I know
how many start-ups there were for each year, but the data was not given
if the number of startups (st) is less than 3 (hence one or two).
Therefore, I know if the missing is 1 or 2 and I know the probability
for either one. I also know how often 1 or 2 should be each given in
total for each year.
I tried recode, impute, mvencode but it did not work.
Maybe someone has a hint? Thanks
Pamela
for each year and region the data looks like this:
sect st prob1 prob2
1 4
2 3
3 . 0.3 0.7
4 8
5 0
6 . 0.45 0.55
7 3
8 5
9 . 0.48 0.52
--
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Pamela Mueller
Max Planck Institute of Economics
Kahlaische Strasse 10
07745 Jena, Germany
tel +49 3641 686 723
fax +49 3641 686 710
[email protected]
www.econ.mpg.de
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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