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Re: st: Sample Wegihts

From   "Michael I. Lichter" <>
Subject   Re: st: Sample Wegihts
Date   Wed, 10 Mar 2010 12:32:43 -0500


Yes, -db svyset- brings up the dialog box for -svyset-, but that's standard Stata (at least in Stata 10); it doesn't have anything to do with DASP from Abdelkrim and Duclos (, which is "a comprehensive package of Stata modules to help analyze the distribution of living standards." (Also, the command line you included for -svydes-, which I assume was supposed to be -svyset-, is wrong in its use of brackets and "vice" instead of "vce".)


Stevie Kourama wrote:
DASP - Distributive Analysis Stata Package by Araar and Duclos offers
a way to set the sampling weight which I have found convenient for me.
the programme is free you can download it and it works in stata 9 and
above. you can search and download it bu unzipping the file
in your directory c. you can find this by searching even in google
distributive analysis stata package download and follow instructions
then the
db svyset command in stata will give you the dialogue box to set your
sampling design

or simply typing
svydes psu [pweight=weight], strata[strate] vice[linearized] for the
sampling design

hope it will work

stephen kirama

On Tue, Mar 9, 2010 at 9:35 PM, Jason Dean, Mr
<> wrote:
I have a quick question. I currently have a 5% random sample of Canada. I also have 4 extra random samples of only the four largest urban cities (I have dropped duplicate observations between samples).

What is the best strategy to include these extra samples and keep the sample representative of the country. I intend to conditon on these cities with dummy variable in my regression.  However, I would prefer to use sample weights but I am not sure the best way to go about creating them. Any suggestions would be greatly appreciated.


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Michael I. Lichter, Ph.D. <>
Research Assistant Professor & NRSA Fellow
UB Department of Family Medicine / Primary Care Research Institute
UB Clinical Center, 462 Grider Street, Buffalo, NY 14215
Office: CC 126 / Phone: 716-898-4751 / FAX: 716-898-3536

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