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Re: st: R: Estimating the number of workers in each industry in each district - flag: Stata 9/2 SE


From   Steve Samuels <sjsamuels@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: R: Estimating the number of workers in each industry in each district - flag: Stata 9/2 SE
Date   Fri, 24 Sep 2010 09:44:10 -0400

Arka-

Based on your description, you would -svyset- your data as follows:

Define a variable (call it "psu" for "primary sampling unit") which is
the village number (rural sector) or urban block( urban sector)


then
********************************************************
svyset psu [pw = your weight], strata(district)
***********************************************************

If your data has one line per person, with "industry" categorized

then the command for totals might be

*****************************************************
svy: tab district industry, count se format(%10.0fc)
*****************************************************

If your data has only counts of workers in each industry in each HH,
then you should -expand- the data first so that it has one line for
each worker in the HH, e.g.

*************
expand hhsize
*************

(but that might include children, so you will have to take some care)

Now a word of advice. It is easy to go wrong in a survey analysis. As
you are a student, I suggest that you seek guidance from a faculty
member who is experienced in surveys, if not in Stata. (I know that
the Department of Statistics at UBC has a survey sampling course). I
also suggest that you obtain a text to learn about sampnling, such as
Sharon Lohr's "Sampling: Design and Analysis" (2009).  I also
recommend "Applied Survey Data Analysis" by Heeringa, West,and
Berglund (2010); it uses Stata almost exclusively for its examples.

Best wishes,

Steve

Steven J. Samuels
sjsamuels@gmail.com
18 Cantine's Island
Saugerties NY 12477
USA
Voice: 845-246-0774
Fax:    206-202-4783



On Thu, Sep 23, 2010 at 8:24 PM, Arka Roy Chaudhuri <gabuisi@gmail.com> wrote:
> Hi,
>  Thanks for the help. In my dataset all the districts in the target
> population are include. The sampling design is stratified multi-stage
> design with the first stage units being villages in the rural sector
> and urban blocks in the urban sector. The ultimate stage units (USU)
> are households in both the sectors.
>
>   I only have one set of weights that comes with the data. The
> documentation states that the weights represent the probability that
> the particular household was included in the sample.  Please let me
> know if I should include any other information. I am really thankful
> for all the help.
>
>
>
> Regards,
>
> Arka
>
> On Wed, Sep 15, 2010 at 7:16 AM, Steve Samuels <sjsamuels@gmail.com> wrote:
>>
>> Arka-
>>
>> I can't answer  without more information about the sampling design.
>> Please describe the design in detail, including answers to the
>> following questin..
>>
>> 1. Were all districts in the target population included in the sample?
>> Or, were districts sampled?
>>
>> 2. Are the final sampling weights the probability sampling weights? Or
>> was there adjustment to the probabilithy weights (post-stratification,
>> "raking")  so that the sample results will better reflect population
>> census proportions? If the weights are so adjusted,  are the original
>> sampling weights available to you?
>>
>>
>> Steve
>>
>> Steven J. Samuels
>> sjsamuels@gmail.com
>> 18 Cantine's Island
>> Saugerties NY 12477
>> USA
>> Voice: 845-246-0774
>> Fax:    206-202-4783
>>
>> On Wed, Sep 15, 2010 at 4:07 AM, Carlo Lazzaro <carlo.lazzaro@tin.it> wrote:
>> > Arka wrote:
>> > "Now I want to estimate the number of workers
>> > belonging to each industry in a particular district"
>> >
>> > A quite trivial example about Arka's issue may be the following one (set
>> > aside survey technicalities):
>> >
>> > ---------------------code begins------------------------------------
>> > drop _all
>> > set obs 100
>> > g Workers=_n
>> > g District="East" in 1/50
>> > replace District="West" in 51/100
>> > g Industry="Concrete" in 1/30
>> > replace  Industry="Steel" in 31/100
>> > g A= 1 if  District=="East" &  Industry=="Steel"
>> > g B= 1 if  District=="West" &  Industry=="Steel"
>> > g C= 1 if  District=="East" &  Industry=="Concrete"
>> > ---------------------code ends------------------------------------
>> >
>> > HTH and Kind Regards,
>> > Carlo
>> > -----Messaggio originale-----
>> > Da: owner-statalist@hsphsun2.harvard.edu
>> > [mailto:owner-statalist@hsphsun2.harvard.edu] Per conto di Arka Roy
>> > Chaudhuri
>> > Inviato: mercoledì 15 settembre 2010 9.24
>> > A: statalist@hsphsun2.harvard.edu
>> > Oggetto: st: Estimating the number of workers in each industry in each
>> > district
>> >
>> > Dear All,
>> >        I have a data set which has information at the individual
>> > level.I have variables which record the district of residence of the
>> > individual, the industry of employment of the individual and other
>> > demographic characterstics.The data set also comes with weights which
>> > represents the probability that a particular household is included in
>> > the sample.Thus all individuals belonging to a particular household
>> > get the same weight.Now I want to estimate the number of workers
>> > belonging to each industry in a particular district.Could anyone
>> > please advice on the correct stata code that I should write to get my
>> > desired estimates?Also I would be grateful if somebody could advice me
>> > on the possible biases that might affect my estimates at the
>> > industry-district level.I would really appreciate any help in this
>> > regard.Thanks
>> >
>> > Regards,
>> > Arka
>> > --
>> > Arka Roy Chaudhuri
>> > PhD Student
>> > University of British Columbia
>> > 997-1873 East Mall
>> > Vancouver
>> > Canada
>> > Ph: +1 (604) 349-8283
>> > Email: gabuisi@gmail.com
>> >
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