Re: st: weights in pooled repeated cross sections

[Steven Samuels <sjsamuels@gmail.com>]

If the PSUs did change completely, then the surveys of different years are independent. See: http://www.stata.com/statalist/archive/2009-08/msg01411.html

for the suggestion to create "super-strata", e.g.: egen strataXyear = group(year strata) and use them in a single -svyset- statement.

Steve


On Sep 28, 2011, at 2:51 AM, Ivica Rubil wrote:

To Steve:
So, basically, if the same PSUs appear in all years, I do not get much
from pooling data, meaning I do not effectively get a larger sample? If
I find in these reports, if there is any, that the PSUs did not change,
then I can proceed and do 1., 2., and 3. as you suggested? What to do if
they did change? 


To Cameron:
Thanks for the reference.



--
Ivica Rubil
Ekonomski institut / The Institute of Economics, Zagreb
Trg J. F. Kennedyja 7, 10 000 Zagreb, Croatia
tel. +385-1-2362-269
fax. +385-1-2335-165
irubil@eizg.hr
www.eizg.hr

-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Steven
Samuels
Sent: 27. rujan 2011 23:30
To: statalist@hsphsun2.harvard.edu
Subject: Re: st: weights in pooled repeated cross sections


Thanks, Nick.  I missed that part of Ivica's question.  


To Ivica, I would say: you can usually find a description of the study
design and variables in the study manuals and reports.  For example, the
2008 Survey is described in www.dzs.hr/Eng/Publication/2009/SI-1400.pdf
and contains the statement:

"In the year 2008, the Household Budget Survey sample was selected in
two stages. In the first one there were 467 segments selected (segments
are groups of neighbouring enumeration areas) out of segments previously
selected for the 2008 Labour Force Survey. In the second stage, out of
each of selected segments, 10 dwellings, occupied by private households,
were selected, which were not previously selected into the 2008 Labour
Force Survey. Thus, 4 670 dwellings occupied by private households were
selected. At each selected occupied dwelling all private households were
interviewed."

This says nothing about previous years, but the answer might lie in
reports about the Labor Force Survey. You should contact the Central
Bureau of Statistics.  If they have a web site, the reports might be
there.

A survey analysis which does not account for the design
variables-strata, PSUs- will produce standard errors and p-values which
are too small, usually much too small. Such an analysis assumes that the
observations are independent, whereas the effective sample size is more
the number of PSUs than the number of households.


Regards,

Steve



On Sep 27, 2011, at 4:35 PM, Nick Cox wrote:

PSUs are primary survey units.

Nick

On Tue, Sep 27, 2011 at 9:32 PM, Steven Samuels <sjsamuels@gmail.com>
wrote:
> 
> 1. Pool
> 2. Divide weights by four (would affect only totals, but still a good
idea)
> 3. -svyset- the whole thing.
> 
> 
> Steve
> 
> On Sep 27, 2011, at 10:40 AM, Ivica Rubil wrote:
> 
> so, you're saying I just pool the 4 datasets, divide the weights by 4,
> and apply -svyset- to the pooled dataset? Or should I rather use
> -svyset- for each of the 4 datasets, pool them in one, and then divide
> the weights by 4?
> Further, sorry for bothering you: what are PSUs? How do I check if
they
> change form year to year?
> 
> --
> Ivica Rubil
> Ekonomski institut / The Institute of Economics, Zagreb
> Trg J. F. Kennedyja 7, 10 000 Zagreb, Croatia
> tel. +385-1-2362-269
> fax. +385-1-2335-165
> irubil@eizg.hr
> www.eizg.hr
> 
> 
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Steven
> Samuels
> Sent: 27. rujan 2011 15:51
> To: statalist@hsphsun2.harvard.edu
> Subject: Re: st: weights in pooled repeated cross sections
> 
> 
> Ivica-
> You can use the individual weights, Ivica, but divide by 4 so that
they
> sum to the average population total over the four years
> 
> You still have to write the rest of the -svyset- command.  If the PSUs
> did not change over the four years, then treat the pooled sample as
one
> large sample, and use the same -svyset- statement that you would use
for
> a single year.  If some PSUs changed you will have to do some stratum
> recoding. For an example see
> http://www.cdc.gov/nchs/ppt/nchs2010/46_Moriarity.ppt
> 
> Steve
> 
> On Sep 26, 2011, at 12:03 PM, Ivica Rubil wrote:
> 
> Dear all,
> 
> I am trying to pool four repeated cross-sections of Croatian Hpusehold
> Budget Survey.
> For each year that I want to pool, I have sampling weights for each
> observation (both household and person).
> My questions are: What should I do with the weights once I pool the
four
> datasets? Is it wrong to use
> dataset-specific weights in the pooled dataset and just run estimation
> commands with the weight option, if
> available? I am confused. Please, help.
> 

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