Re: st: mediation by subgroup

[fabio.zona@unibocconi.it]

I can't see in this example the sureg command and the test of mediation effect; maybe I am wrong, but mediation requires sureg, as in the link I provided before

http://www.ats.ucla.edu/stat/stata/faq/modmed.htm


Or, maybe I can't see what you say; may you please kindly provide more explanations?
Thanks a lot!


As per references, see:
--- Preacher, K.J., Rucker, D.D. and Hayes, A.F. 2007. Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42(1), 185-227
---Baron, R.M.,& Kenny,D.A.(1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. ournal of Personality and Social Psychology, 5, 1173–1182.







----- Messaggio originale -----
Da: "Maarten buis" <maartenbuis@yahoo.co.uk>
A: statalist@hsphsun2.harvard.edu
Inviato: Lunedì, 7 marzo 2011 11:44:03 GMT +01:00 Amsterdam/Berlino/Berna/Roma/Stoccolma/Vienna
Oggetto: Re: st: mediation by subgroup

--- On Mon, 7/3/11, Fabio Zona wrote:
> I run the same model  in two subgroups and wish to
> test whether the coefficients significantly differ in the
> two subgroups (i.e. chow test).
> 
> However, each model includes a mediation effect.
> Specifically, each model includes:
> --- three predictor variables
> --- a mediation effect (the effect of one predictor is
> mediated by a Mediator)
> --- control variables

I assume you are using linear regression on an untransformed
dependent/explained/y variable (if you do not then mediation 
becomes a lot more complex). In that case the solutions seems
to me so simple that it does not deserve its own name: Just
estimate one model, add interactions, and test whether these
interactions are all equal to zero. In the example below:
assume that race has an effect on income through education 
(grade) and union is a control variable and you want to compare
married and unmarried women (the dataset contains only women).

*----------------- begin example ---------------
sysuse nlsw88, clear
gen byte baseline = 1
gen c_grade = grade - 12

reg wage i.race##i.married    ///
         c.c_grade##i.married ///
         i.union##i.married   ///
         , coefl

test 2.race#1.married 3.race#1.married     ///
     1.married#c.c_grade 1.union#1.married ///
     1.married
 *-------------- end example --------------------
(For more on examples I sent to the Statalist see:
http://www.maartenbuis.nl/example_faq )

Hope this helps,
Maarten

--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany

http://www.maartenbuis.nl
--------------------------


      

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