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From |
Roberto Ferrer <[email protected]> |

To |
Stata Help <[email protected]> |

Subject |
Re: st: How to code |x_i-x_j| in stata? |

Date |
Thu, 10 Oct 2013 08:52:52 +0100 |

Amy, You do not give details on the paper nor do you explain the structure of your database. I have made some assumptions to compute the locational Gini coefficient, but not exactly as you specified it. In the middle of the code there are some things that might help you. Basically, I use -fillin- and a loop to do the subtractions. The downside is that it creates N-1 variables (where N is number of areas) so on a big database it may give trouble (not too difficult to adjust I think). I've littered the code with -list- so the changes are visible in each step. I'm sure someone can come up with a better way of doing it but I believe it works for this example at least. /* Based on: MEASURING AGGLOMERATION: AN EXPLORATORY SPATIAL ANALYSIS APPROACH APPLIED TO THE CASE OF PARIS AND ITS SURROUNDING. Rachel Guillain and Julie Le Gallo. www.real.illinois.edu/d-paper/06/06-t-10.pdf? */ *----------------------------- input ------------------------------------------- clear input area ind sh2 sh1 1 1 0.7 0.70 1 2 0.7 0.15 1 3 0.7 0.05 1 4 0.7 0.10 1 5 0.7 1 2 1 0.2 0.20 2 2 0.2 0.25 2 3 0.2 0.95 2 4 0.2 0.90 3 1 0.1 0.10 3 2 0.1 0.60 end list, sepby(area) /* ind: industry sh1: Area i's share of employment in industry m sh2: Area i's share of total employment Notice industry 1 is distributed identically to that of total employment and that industry 5 is totally concentrated in area 1. Therefore, Gini should be 0 and 0.5, for the respective industries. */ *--------------- Preliminary computations for locational Gini ------------------ * Number of areas (assume area coding starts at 1 and has no jumps) summarize area, mean local N = r(max) * Compute X gen x = sh1/sh2 drop sh* list, sepby(area) *----------------------- What you want (I think) ------------------------------- * Prepare data for subtractions fillin area ind drop _fillin list, sepby(area) sort ind x list, sepby(ind) * Subtractions (should do N-1 loops) local K = `N'-1 forvalues i = 1/`K' { by ind: gen xp`i' = abs(x[_n] - x[_n+`i']) if (`i' == 1) { * Correct for industry that appears only in one area. by ind: replace xp`i' = x if x[2] == . } } list, sepby(ind) * Compute the double sum egen subtot = rowtotal(xp*) by ind: egen tot = total(subtot) list, sepby(ind) * ------------------ Rest of computations for locational Gini ------------------ *Compute sum of x by ind: egen xsum = total(x) list, sepby(ind) * Drop unnecessary by ind: keep if _n == 1 drop area xp* subtot list * Compute numerator gen numerator = 1/(`N'-1) * tot * Compute Locational Gini Coefficient gen G = numerator/xsum list On Thu, Oct 10, 2013 at 4:09 AM, LI Mengjia <[email protected]> wrote: > Dear statalist, > > I'm trying to calculate a "locational Gini coefficient" (rg) by using the formula in a reference paper in the following: > > rg=(sum|x_i-x_j|)/(2*n^2*u) > > where n is the total number of industries in an area, i and j are just two industries in n industries, x is the market share of any industry, and u is the mean of x. > > I have not idea how to put x_i-x_j into stata. > > Thanks and best regards, > Amy > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/faqs/resources/statalist-faq/ > * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re:Re: st: How to code |x_i-x_j| in stata?***From:*"LI Mengjia" <[email protected]>

**References**:**st: How to code |x_i-x_j| in stata?***From:*"LI Mengjia" <[email protected]>

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