Endogenous population subgroups: the best population partition and optimal number of groups
AbstractThe aim of this paper is to suggest a method to find endogenously the points that group the individuals of a given distribution in k clusters, where k is endogenously determined. These points are the cut-points. Thus, we need to determine a partition of the N individuals into a number k of groups, in such way that individuals in the same group are as alike as possible, but as distinct as possible from individuals in other groups. This method can be applied to endogenously identify k groups in income distributions: possible applications can be poverty
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Bibliographic InfoPaper provided by Department of Applied Economics at Universitat Autonoma of Barcelona in its series Working Papers with number wpdea0508.
Length: 15 pages
Date of creation: May 2005
Date of revision:
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stopping rule; optimal grouping; Gini index;
Find related papers by JEL classification:
- I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
- D30 - Microeconomics - - Distribution - - - General
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-05-07 (All new papers)
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- Hippolyte d'Albis & Fabrice Collard, 2012.
"Age Groups and the Measure of Population Aging,"
Documents de travail du Centre d'Economie de la Sorbonne
12081, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Hippolyte D'Albis & Fabrice Collard, 2012. "Age groups and the Measure of Population Aging," UniversitÃ© Paris1 PanthÃ©on-Sorbonne (Post-Print and Working Papers) halshs-00768889, HAL.
- d'Albis, Hippolyte & Collard, Fabrice, 2011. "Age Groups and the Measure of Population Aging," LERNA Working Papers 11.05.339, LERNA, University of Toulouse.
- d'Albis, Hippolyte & Collard, Fabrice, 2013. "Age Groups and the Measure of Population Aging," MPRA Paper 49972, University Library of Munich, Germany.
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