On a class of bi-polarization variance-based measurement: Evidence from Cameroonian data
AbstractThis paper revisits one of the bipolarization indices of the large class of Duclos-Estebane-Ray polarization measures. The relationship between polarization, inequality and poverty is analyzed via the index. First, polarization measure for the median is defined and related to the subtraction of the between group and the within-groups components of the coefficient of variation squared. Second, the generalized bipolarization measure is defined and related to poverty via the headcount ratio, the income gap ratio and the overabundance gap ratio. In particular, it is shown that polarization is high when the headcount ratio is around 0.5 and polarization is little when the headcount ratio is far from this value. Third, the preceding results are applied to analyze the Cameroonian household’s consumption distribution.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 25411.
Date of creation: 10 Jul 2010
Date of revision:
Polarization; inequality; poverty; Cameroon;
Other versions of this item:
- C. Chameni Nembua, 2012. "On a class of bi-polarization variance-based measurement: evidence from Cameroonian data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(13), pages 1311-1317, September.
- D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
- H30 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-10-02 (All new papers)
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