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Re: [Fwd: Re: st: sgmediation and panel data]
From
John Antonakis <[email protected]>
To
[email protected]
Subject
Re: [Fwd: Re: st: sgmediation and panel data]
Date
Sun, 16 May 2010 17:16:56 +0200
Hi:
The Baron and Kenny method is flawed. It assumes two equations estimated
by OLS:
x = a0 + b1z + u
y = b0 + b1x + e
If x is endogenous, then the cross equation correlation must be
estimated either using maximum likelihood or an IV estimator (2SLS). If
you don't use the predicted value of x in the y equation and if you
don't correlated the disturbances, then you assuming that x is
exogenous, which is a big mistake (if it isn't exogenous). Estimates in
the y equation will be inconsistent.
So, I would use -cmp-; you can include dummy variables in there and also
correct for clustering.
HTH,
John.
____________________________________________________
Prof. John Antonakis, Associate Dean
Faculty of Business and Economics
Department of Organizational Behavior
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland
Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305
Faculty page:
http://www.hec.unil.ch/people/jantonakis
Personal page:
http://www.hec.unil.ch/jantonakis
____________________________________________________
On 16.05.2010 17:07, Konstantinos Pitsakis wrote:
Dear John,
I hadn’t realized that clustering the errors was the problem, so I now dug
deeper into this and I think I got the point.
Compared to your advice, I was wondering whether you think it would be OK to
simply run fixed effects with clustering [vce(cl)] in Stata and then do the
Baron & Kenny method on mediation (with the Sobel test).
This sounds easy and straightforward to me because I'm not sure why I should
use cmp and nlcom.
Any suggestions on this please?
Best regards,
Konstantinos Pitsakis
T: +31 13466 2523
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of John Antonakis
Sent: Wednesday, May 12, 2010 2:19 PM
To: [email protected]
Subject: [Fwd: Re: st: sgmediation and panel data]
Forgot to mention, -cmp- is a userwritten command. For information on
this see:
ssc d cmp
Best,
J.
-------- Original Message --------
Subject: Re: st: sgmediation and panel data
Date: Wed, 12 May 2010 13:22:43 +0200
From: John Antonakis <[email protected]>
Reply-To: [email protected]
Organization: University of Lausanne
To: [email protected]
References: <003701caf1bb$8c3b10e0$a4b132a0$@[email protected]>
Hi Kostas:
One solution would be with cmp, so you can cluster the standard errors,
e.g.,
cmp (y = x z1 z2) (x = z1 z2 p1 p2), ind (1 1) cluster(firm)
(I'd double check that these estimates and the overid and identification
stats with ivreg2)
Then you can do the Sobel test using the delta method with nlcom.
Suppose you wanted to test the indirect effect of p1 on y through x.
You'd do:
nlcom [x]p1*[y]x
How about the indirect effects both of p1 and p2 via x:
nlcom [x]p1*[y]x + [x]p2*[y]x
HTH,
John.
____________________________________________________
Prof. John Antonakis, Associate Dean
Faculty of Business and Economics
Department of Organizational Behavior
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland
Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305
Faculty page:
http://www.hec.unil.ch/people/jantonakis
Personal page:
http://www.hec.unil.ch/jantonakis
____________________________________________________
On 12.05.2010 12:11, Konstantinos Pitsakis wrote:
Dear colleagues,
I am trying to run a Sobel test for mediation on a panel database (15
years)
using the “sgmediation” command created by Phil Ender.
According to a previous statalist thread, this test should NOT work with
panel data:
http://www.stata.com/statalist/archive/2009-03/msg01155.html
However, I don’t understand what this means: I declared my database to be
panel with xtset and then run the Sobel test without any problems…
Are the results I get useless/wrong and why?
Also, is there any alternative to the Sobel test for mediation (that
measures the exact strength and significance of the mediation)?
Thank you very much for your help.
Best regards,
Dr Konstantinos Pitsakis
Assistant Professor
Department of Organization Studies
Faculty of Social and Behavioural Sciences
Fellow, Center for Innovation Research (CiR)
Tilburg University, Room P1.169
PO Box 90153, 5000 LE
Tilburg, the Netherlands
T: +31 13466 2523
F: +31 13466 3002
E: [email protected]
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