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From |
Steven Samuels <[email protected]> |

To |
[email protected] |

Subject |
Re: st: pool cross-section survey data |

Date |
Fri, 10 Oct 2008 10:00:11 -0400 |

Gaby,

-Steve On Oct 9, 2008, at 4:52 AM, Ana Gabriela Guerrero Serdan wrote:

Dear Steven,Yes, PSUs were randomly selected in each survey. One survey designwas done in two stages the others in three stages. However, thesampling frame is the same and based on the census.I want to see if outcomes (Yi e.g. school/health) do change overtime for peple that are living in some areas (dt) that are exposedto a certain treatment. So in the main issue I am looking for isthe effect of residing in a certain region at a certain time onoutcomes (assuming there is no migration).I am also wondering if I would need to aggregate variables to ahigher level maybe cohort or district? because I do not have paneldata 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 andon the mainissues when trying to pool two or threeindependent cross-sectional surveys. N is large and T is small. Thedata is notpanel in the sense that I do not observe the sameindividuals inthe three surveys but they are representative atthe provincialand urban/rural areas. I am trying to see if I can model something likethis:Yidt= a + b Xidt + c Zt + dPidt + u where Xit are characteristics that might variedover time for eachindividual. Z is specific time for allindividuals. P is dummy forindividuals treated in region d and time t. I have been reading the Wooldrige oncross-sectional and paneldata but would like to know if you know of anyother sources orhave in mind any applied examples and/oreconometric problems youmay encounter.John Micklewright's chapter on analysing pooledcross-sectional datain Dale and Davies (1994) might be a very usefulstarting point foryou. -- Clive Nicholas [Please DO NOT mail me personally here, but at <[email protected]>. Please respond tocontributions I make ina list thread here. Thanks!] Dale A and Davies RB (1994) Analysing Social andPolitical Change: ACasebook of Methods, London: Sage. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

* * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**Re: st: pool cross-section survey data***From:*Ana Gabriela Guerrero Serdan <[email protected]>

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