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Re: st: RE: Gini coefficient for spatial data


From   Nick Cox <njcoxstata@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: RE: Gini coefficient for spatial data
Date   Wed, 23 May 2012 10:25:16 +0100

Naturally, spatial data can raise serious questions in interpretation:
typically aggregation or averaging acts to reduce what is measured as
inequality, and it can be difficult disentangling genuine variations
in inequality from artefacts of a particular level of aggregation or
of a particular spatial mesh laid down like a fishing-net to catch
some fish and miss others. But the calculation is the same.

Nick

On Wed, May 23, 2012 at 12:38 AM, Francisco Rowe <frowe@ucn.cl> wrote:
> OK. Thanks again.
>
> On 23/05/2012, at 9:04 AM, Nick Cox wrote:
>
>> None of the commands know what they are receiving. The calculations
>> are the same for areal data as for as data on individuals.
>>
>> Nick
>>
>> On Tue, May 22, 2012 at 11:49 PM, Francisco Rowe <frowe@ucn.cl> wrote:
>>> Thanks Nick.
>>>
>>> Well, I rephrase my question: Can I apply the existing Stata commands -e.g. ineqdeco, inequal, sgini- to calculate the Gini coefficient using spatial data? All of the commands I mentioned seem to require as input micro data.
>>>
>>> What I want is to measure the degree of concentration/dispersion of different variables at the different geographical scales.
>>>
>>> Francisco.
>>>
>>>
>>> On 23/05/2012, at 12:40 AM, Nick Cox wrote:
>>>
>>>> Ignorance is a condition treatable by computer searching.
>>>>
>>>> I don't know that Gini coefficients are defined differently for spatial data. However, last time I looked seriously, the name "Gini coefficient" had been applied to about four quite different measures, so you might need to say which you have in mind.
>>>>
>>>> More positively, -findit gini- might find what you want. Note that most if not all of the Stata functionality in this territory is user-written.
>>>>
>>>> Nick
>>>> n.j.cox@durham.ac.uk
>>>>
>>>> Francisco Rowe
>>>>
>>>> An ignorant question: I would like to know how can I compute a Gini coefficient using spatial data, for example regional unemployment rates?
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