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

[Arka Roy Chaudhuri <gabuisi@gmail.com>]

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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