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From | Sebastian Baumeister <baum_statal@web.de> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Contextual analysis |
Date | Fri, 09 Jun 2006 17:36:02 +0200 |
Dear Sebastian and Anders,
Thank you for your answer. I have the book you mentioned.
To give you more information. My data is cross-sectional. I am planning in the future, to conducted some multilevel (2 levels) analysis.
Right now, I am planning to conduct "contextual analysis", something like that:
Self-rated health ( 3 categories) = x1 + x2 + x3 + x4 + x5
Where, for example,
x1 = age of the participant
x2 = sex of the participant
x3 = individual income
x4 = Average income for the Census tract i
x5 = ratio male:female, census tract i
Actually, what I will be doing is to append characteristics of the groups to which individuals belong to an individual level analysis.
As I wrote in the previous e-mail, I am looking for some Stata routine that are able to deal with what some authors report as " the residual correlation between outcomes within groups that may persist after accounting for individual-level and group-level variables included in the analysis" (For example: Kawachi I, Berkman L. Neighborhood and health. Chapter 3: The
examination of neighborhood effects on health: conceptual and methodological issues related to the presence of multiple levels of organization. Oxford University Press,. 2003).
If you could direct me to any chapter in the Rabe-Hesketh and Skrondal book would be super !
Thanks in advance,
Fernando A Proietti
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