Dear Steven,
Yes, PSUs were randomly selected in each survey. One survey design was done in two stages the others in three stages. However, the sampling frame is the same and based on the census.
I want to see if outcomes (Yi e.g. school/health) do change over time for peple that are living in some areas (dt) that are exposed to a certain treatment. So in the main issue I am looking for is the effect of residing in a certain region at a certain time on outcomes (assuming there is no migration).
I am also wondering if I would need to aggregate variables to a higher level maybe cohort or district? because I do not have panel data but repeated cross section surveys.
How do I deal with the difference of the sample designs?
regards,
Gaby
--- On Tue, 10/7/08, Steven Samuels <[email protected]> wrote:
> From: Steven Samuels <[email protected]>
> Subject: Re: st: pool cross-section survey data
> To: [email protected]
> Date: Tuesday, October 7, 2008, 2:07 PM
> You might find useful some of the advice at
> http://www.stata.com/
> statalist/archive/2007-11/msg00216.html.
>
> You probably need a -survey- enabled analysis, or at least
> one that
> can handle weights and clustering. To advise you further,
> we would
> need details of the survey design (strata, stages, units at
> each
> stage, weights). Of particular interest: were primary
> sampling units
> (PSUs) selected anew at each survey? Also, what exactly is
> the goal
> of your analysis? The suffix "dt" in your
> equation suggests to me
> that you want to look at changes.
>
> -Steve
>
> On Oct 7, 2008, at 1:47 PM, Clive Nicholas wrote:
>
> > Gaby Guerrero Serdan wrote:
> >
> >> I wonder if you could point me out on readings and
> on the main
> >> issues when trying to pool two or three
> independent cross-
> >> sectional surveys. N is large and T is small. The
> data is not
> >> panel in the sense that I do not observe the same
> individuals in
> >> the three surveys but they are representative at
> the provincial
> >> and urban/rural areas.
> >>
> >> I am trying to see if I can model something like
> this:
> >>
> >> Yidt= a + b Xidt + c Zt + dPidt + u
> >>
> >> where Xit are characteristics that might varied
> over time for each
> >> individual. Z is specific time for all
> individuals. P is dummy for
> >> individuals treated in region d and time t.
> >>
> >> I have been reading the Wooldrige on
> cross-sectional and panel
> >> data but would like to know if you know of any
> other sources or
> >> have in mind any applied examples and/or
> econometric problems you
> >> may encounter.
> >
> > John Micklewright's chapter on analysing pooled
> cross-sectional data
> > in Dale and Davies (1994) might be a very useful
> starting point for
> > you.
> >
> > --
> > Clive Nicholas
> >
> > [Please DO NOT mail me personally here, but at
> > <[email protected]>. Please respond to
> contributions I make in
> > a list thread here. Thanks!]
> >
> > Dale A and Davies RB (1994) Analysing Social and
> Political Change: A
> > Casebook of Methods, London: Sage.
> > *
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