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Re: st: pool cross-section survey data


From   Steven Samuels <sjhsamuels@earthlink.net>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: pool cross-section survey data
Date   Tue, 7 Oct 2008 15:07:47 -0400

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
<clivenicholas@hotmail.com>. 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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