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Endogenous population subgroups: the best population partition and optimal number of groups

Author

Listed:
  • Ambra Poggi

    (Departament d'Economia Aplicada, Universitat Autonoma de Barcelona)

Abstract

The 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

Suggested Citation

  • Ambra Poggi, 2005. "Endogenous population subgroups: the best population partition and optimal number of groups," Working Papers wpdea0508, Department of Applied Economics at Universitat Autonoma of Barcelona.
    • Handle: RePEc:uab:wprdea:wpdea0508
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    File URL: https://ecap.uab.cat/RePEc/doc/wpdea0508.pdf
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    Citations

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    Cited by:

    1. d'Albis, Hippolyte & Collard, Fabrice, 2011. "Age Groups and the Measure of Population Aging," LERNA Working Papers 11.05.339, LERNA, University of Toulouse.
    2. Hippolyte d'Albis & Fabrice Collard, 2013. "Age groups and the measure of population aging," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(23), pages 617-640.

    More about this item

    Keywords

    stopping rule; optimal grouping; Gini index;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • D30 - Microeconomics - - Distribution - - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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