the survey you describe is complex but it doesnt mean that is not random. Its just that to save costs or to be sure that they do include specific groups/workers they have done stratification and clustering.
You probably need to use svy commands in Stata. But his depends on what you are intersting on estimating, for population totals and descriptives you certainly would need.
SPSS version 12 has a complex samples options, so you would be able to get this also in SPSS.
see svy commands in Stata
take a look at Cameron and Trivedi, microeconometricts,chapter on stratified and cluster samples.
rgds,
Gaby
--- On Fri, 5/29/09, [ISO-8859-1] Fernando Terrés <[email protected]> wrote:
> From: [ISO-8859-1] Fernando Terrés <[email protected]>
> Subject: st: Complex survey with only sampling weights
> To: [email protected]
> Date: Friday, May 29, 2009, 5:50 AM
> I need to analyze an official survey,
> with data on 11,054 workers, were
> the sampling design is according to the survey company:
> 'multistage,
> stratified by clusters, with random selection of both PSU
> (602
> undisclosed municipalities), and secondary sampling units
> (undisclosed
> census sections), and the last sample units (workers) are
> selected by
> random routes and quotes'. They provide sampling weights
> that are (1681)
> unique values for each combination of gender (2), region
> (17), firm size
> (6), and economic activity (13).
> My question is very simple: is this a probabilistic
> sampling design? I
> suspect that it is not, but I cast some doubts because the
> documentation
> disclosed by the official bureau that commissioned the
> survey clearly
> insists on using the weights (they present a word document
> tabulating
> them), that are the only sampling information included in
> the SPSS files
> that they provide (this reinforces my doubts, because I'm
> using Stata
> 10, which correctly uses the sampling weights, while to my
> knowledge
> SPSS only uses frequency weights).
> Thank you in advance,
> Fernando.
>
> --
> Fernando Terres
> Lecturer. PhD candidate
> CERPIE/Research
> Universitat Politecnica de Catalunya
> Diagonal, 647 - 10
> 08028 Barcelona (Spain)
> +34.934.010.708
> [email protected]
> http://cerpie.upc.edu
>
>
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