6 research outputs found

    Inequality, welfare and order statistics

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    In this paper we use the distributions of order statistics to define functions with the appropriate properties and represent social preferences regarding income distributions. Following the approach of Yaari (1987, 1988), this allows constructing a set of social welfare functions from which the corresponding inequality indices are derived. The obtained measures incorporate diverse normative criteria, with different degrees of preference for equality. The generalized Gini coefficients and the family of indices proposed in Aaberge (2000) are obtained as particular cases. This approach shows that each of these families of indices characterizes the income distribution, but for a change of scale

    Códigos impositivos lineales. Su efecto sobre poblaciones heterogéneas

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    En este trabajo se considera una población de contribuyentes heterogénea respecto de las características que, además de la renta, tienen incidencia fiscal. Realizada una partición finita de esa población en subpoblaciones homogéneas, se proponen distintas definiciones de progresividad (relativa y absoluta) basadas en relaciones de dominancia, ordinaria o secuencial. Además se caracterizan los códigos impositivos formados por tarifas lineales con un tipo marginal común que son progresivos de acuerdo con dichas definiciones.Diferencias en necesidades, dominancia ordinaria, dominancia secuencial, desigualdad relativa, desigualdad

    Inequality changes over time, pro-poor growth and reranking: local focus and global assessment

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    When measuring the change in inequality the conclusion based on an overall inequality measure can hide some important changes at different parts of the distribution. In this paper we propose the decomposition of the inequality change measured through a family of inequality measures proposed by Imedio et al. (2013) into measures of pro-poor income growth and reranking in the income pecking order. Moreover, making use of the result of Imedio et al. (2013) that shows that the Bonferroni index can be seen as the sum of inequality measures that give more weight to inequality in different parts of the income distribution (inequality measures with local focus) we propose a decomposition that reveal the extent to which each part of the income distribution contributes to the global measure of inequality, reranking and pro-poor growth. These results make the analysis of changes in inequality more insightful, as they help to evaluate the homogeneity of the change in inequality, reranking and pro-poor growth along the income distribution and enable to estimate the contribution of the “local” measures to the global one. We use this framework to analyze the effect of the crisis on employee income and self-employment income in 11 European countries.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
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