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Re: st: Re: Creating a Peer-Variable excluding the focal entity
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: Re: Creating a Peer-Variable excluding the focal entity
Date
Wed, 26 Mar 2014 15:01:01 +0000
So far as I am concerned there is only one principle here, which is
that we can't be expected to answer impossible questions. Your first
question was, I believe, impossible to answer precisely, but I
referred you to sources of guidance. Your second question was, I
believe, impossible to answer precisely. Perhaps you would prefer me
to walk away from such questions, as I often do, but I am trying to
hang in here and be clear that you really do need to explain what you
want.
I am looking at again at firm 1, which is in sector 1. I copy and
paste your last output to establish that again.
firm year sector Visibility Peer Visibility
> 1 2009 1 4.2 4.7
Are you saying that the peer visibility is to be calculated for firms
in the other sector at the same time? Otherwise, why are you using
firms from sector 2.
Alternatively, giving a word definition of the exact definition.
Nick
[email protected]
On 26 March 2014 14:46, Houdou Basse Mama <[email protected]> wrote:
> Dear Nick
> I have no pretention to compete. In contrast, I am searching for guidance.
> I computed manually (in Excel) the 4.7 as the mean of 4.6 and 4.8 that respectively pertain to firm 2 and 3 for the year 2009. Both firms 2 and 3 belong to sector (industry) #2. My question is: Can a Stata algorithm help me efficiently perform this task for a broader sample?
> I am sorry for the misunderstanding if you feel like your guidance to be misused.
>
> Best
> Houdou
>
> ----- Ursprüngliche Mail -----
> Von: "Houdou Basse Mama" <[email protected]>
> An: [email protected]
> Gesendet: Mittwoch, 26. März 2014 15:18:36
> Betreff: Re: Creating a Peer-Variable excluding the focal entity
>
> Many thanks Nick for your guidance.
>
> I would like to specify my question. Suppose, you have 7 firms belonging to two different sectors 1 and 2. Each firm-year observation is associated with a media visibility measure. What I want ot compute is the variable "Peer Visibility" as I did it for Firm 1 over the period 2009-2013. This latter variable is industry-year computed and varies over the 7 firms. I append an example below:
>
> firm year sector Visibility Peer Visibility
> 1 2009 1 4.2 4.7
> 1 2010 1 9.7 9.6
> 1 2011 1 5.2 4.2
> 1 2012 1 9.3 9.5
> 1 2013 1 6.1 5
> 2 2009 1 4.6
> 2 2010 1 9.4
> 2 2011 1 4.6
> 2 2012 1 9.3
> 2 2013 1 4.9
> 3 2009 1 4.8
> 3 2010 1 9.8
> 3 2011 1 3.8
> 3 2012 1 9.7
> 3 2013 1 5.1
> 4 2009 2 5.2
> 4 2010 2 9.3
> 4 2011 2 3.6
> 4 2012 2 9.2
> 4 2013 2 6.3
> 5 2009 2 7
> 5 2010 2 9.1
> 5 2011 2 3.5
> 5 2012 2 9.2
> 5 2013 2 7.3
> 6 2009 2 6.9
> 6 2010 2 9.5
> 6 2011 2 4.4
> 6 2012 2 9.1
> 6 2013 2 7
> 7 2009 2 6.9
> 7 2010 2 9.7
> 7 2011 2 4.6
> 7 2012 2 9
> 7 2013 2 6.8
>
> I hope I could specify the issue. Thanks in advance for your help
> Houdou
>
>
> ----- Ursprüngliche Mail -----
> Von: "Houdou Basse Mama" <[email protected]>
> An: [email protected]
> Gesendet: Dienstag, 25. März 2014 11:33:10
> Betreff: Creating a Peer-Variable excluding the focal entity
>
> Dear Statalist,
>
> Could you please provide assistance. I attempt (with no success) to create a peer group variable each period excluding a focal firm j. Suppose I want to regress a firm's outcome (y_jit) on a vector X that contains two variables. The outcome y_jit should be regressed on X_jit and X_-jit, where the former varibale denotes the a firm-specific determinant of Y_jit and a peer group counterpart, respectively. I need to construct the peer group variable (X_-jit) that excludes the firm itself.
>
> Assume a variable "visibility" that is firm-specific. I want to compute a peer-counterpart for this firm-specific variable using industry affiliation as peer group. Call this new variable "peer_visibility". The computed variable should be industry-year computed.
>
> I have read the points made in the thread in statalist since October through December 2013 but still cannot solve the problem. Many thanks in advance for your help.
>
> Best and many thanks for your time
>
> Houdou
> ESCP Europe Berlin Campus
>
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