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RE: st: how to construct a mean squared Euclidean measure?


From   "chanchal.balachandran@usi.ch" <chanchal.balachandran@usi.ch>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   RE: st: how to construct a mean squared Euclidean measure?
Date   Thu, 17 Feb 2011 18:49:46 +0000

Hi Mike,

I ran the loop and this works with a simple fix in the formula (according to my exact requirement).

Thank you very much!

Chanchal

________________________________________
From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] on behalf of Mike Lacy [Michael.Lacy@colostate.edu]
Sent: 17 February 2011 18:15
To: statalist-digest@hsphsun2.harvard.edu
Subject: Re: st: how to construct a mean squared Euclidean measure?

 >
 >Date: Wed, 16 Feb 2011 16:24:57 +0000
 >From: "chanchal.balachandran@usi.ch" <chanchal.balachandran@usi.ch>
 >Subject:
 >
 >Hi all,
 >
 >I am using Stata 10.1. I want to create a variable which captures the
 >dissimilarity measure of a member who exit from a work group, sorted by firm
 >and year. The dissimilarity is calculated in terms of the member¡¯s job
 >tenure in the group with respect to other members¡¯ job tenures. More
 >precisely the measure I am trying to construct is the mean squared Euclidean
 >distance of a focal member i  from each incumbent team member j  and is
 >given as: ¡Ì( ¡Æ(Xi ¨C Xj)2/(n-1)), where Xi is the tenure of the focal
 >individual i, Xj is the tenure of incumbent j, with i not equal to j and n
 >is the number of group members. Does anyone have an idea how to construct
 >this measure using Stata? For more clarity, let me describe the data
 >structure as below.
 >
 >
 >
If I understand Chanchal correctly, I think this will work.  It is
probably not the most efficient approach, as it involves looping over cases,
but it ran in a few seconds on my puny machine even when I expanded
the data by 1000. A little byable program would probably be faster.

clear
input ObservationID Year FirmID MemberID Tenure
  1 1960 1 1 4
  2 1960 1 2 2
  3 1960 1 3 1
  4 1960 2 4 2
  5 1960 2 5 1
  6 1961 1 1 4
  7 1961 1 3 2
  8 1961 2 2 0
  9 1961 2 4 3
  10 1961 2 5 2
end
//
egen group = group(FirmID Year)  // I think this is what is intended
sort group
egen case1 = min(_n), by(group)
egen caseN = max(_n), by(group)
gen dij2 = 0
forval i = 1/`=_N' {
    quiet replace dij2 = dij2 + (Tenure- Tenure[`i'] )^2 ///
          if inrange(`i', case1, caseN)  // restrict to group members
}
// Inspect results before dividing, easier to check by eyeball
by group: list FirmID Year Tenure dij2
//
quiet replace dij2 = dij2/(caseN - case1) // n-1 within group

Regards,
=-=-=-=-=-=-=-=-=-=-=-=-=
Mike Lacy, Assoc. Prof.
Soc. Dept., Colo. State. Univ.
Fort Collins CO 80523 USA
(970)-491-6721



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