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Please respect requests in the FAQ (again) [was: Re: st: FW: Fixed effects]


From   Nick Cox <njcoxstata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Please respect requests in the FAQ (again) [was: Re: st: FW: Fixed effects]
Date   Wed, 6 Feb 2013 10:36:06 +0000

Mohamud and others tempted to post similarly using Greek characters
should look at

http://hsphsun3.harvard.edu/cgi-bin/lwgate/STATALIST/archives/statalist.1302/date/article-134.html

The Harvard archives show how such characters in your post will look
to many list members (not all, but I believe most).

In a word: unreadable.

The FAQ is plain on this point: you are asked to use plain text, not
any kind of formatting. Just because your mailer will let you do it,
it is not universally readable.

I raised this point only a matter of hours ago.

The FAQ also explains that incomplete references such as Greene (2008)
are deprecated on this list.

Nick

On Wed, Feb 6, 2013 at 10:26 AM, Mohamud Hussein
<Mohamud.Hussein@fera.gsi.gov.uk> wrote:
> Sorry all, I should have added the specification of model that I run:
>
> Cit =αi+ βxit + zitγ + δt + εit.
>
>
> αi=intercept
>
> δi = dummy intercept.
>
> The basic model is described in Greene(2008): econometric analysis, 6th Ed., page 197; but I added interactions and implemented it such that I can run it to estimate directly the coefficients for the first group (dummy=0) and difference between the two groups on interaction between a variable and the dummy. In this setting, I think, the coefficient on P_O is  0.0066293 for group with dummy (1.gt287) =0 , and 0.0066293+0.4754795 for group with dummy=1.
>
> I would be grateful if you can tell me:
> 1.  whether I implemented the model correctly;
>
> 2. and what the insignificant difference between intercepts(α and δ) and highly significant difference between the coefficients for variables x and agr_score10 mean, bearing in mind that the dummy intercept represent the size of the firm in this case?
>
> I also welcome any general comment on the results.
>
> For description of the problem, dummy set up and full model output see my previous email below. Note that z= Y_TCOST10, agr_score10 and enforcement10.
>

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