Measuring the Socio-Economic Bipolarization Phenomenon
AbstractThe present paper emphasizes the differences between the Gini concentration coefficient  and a new bipolarization index proposed by , . In practice, the Gini index is applied frequently to determine the poverty degree of the persons of a given population P. Although the pauperization and the polarization social phenomena are often very strong related, we shall prove that the bipolarization level of the individuals of P cannot be always accurately estimated by applying the classical Gini measure. Therefore, for evaluating the intensity of a polarization event is not adequate to use the Gini-type coefficients based on the Lorenz order.
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Bibliographic InfoArticle provided by Institute for Economic Forecasting in its journal Romanian Journal of Economic Forecasting.
Volume (Year): 5 (2008)
Issue (Month): 1 (March)
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Gini coefficient; bipolarization index; Lorenz order; antithetic variables; bounded exponential distributions.;
Find related papers by JEL classification:
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
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