37 resultados para transitory income inequality


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Spanish version available

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Incluye Bibliografía

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Includes bibliography

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The employment situation in Latin America and the Caribbean is a twice-yearly report prepared jointly by the Economic Development Division of the Economic Commission for Latin America and the Caribbean (ECLAC) and the Subregional Office for the South Cone of Latin America of the International Labour Organization (ILO). Strong job creation and wage gains have proved to be a key factors in reducing poverty —quite substantially— in our region over the past decade. Together with the implementation of innovative social policies, the narrowing of wage gaps has played a fundamental role in reducing inequality between households. The success of these two processes —reducing poverty and inequality— count among the most important achievements of this period. In the past few years, however, the fight against poverty has noticeably lost momentum,1 showing the extent to which job creation has been hit by the recent economic slowdown.

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This article analyses the share of total income represented by employment earnings in the countries of Latin America over the last two decades. It first considers the wage share of gross domestic product (gdp) and then adds in the earnings of self-employed workers. The findings indicate that both total wages and total earnings declined as a share of gdp in most of the region’s countries over the period, although there were some exceptions. The reduction in earnings inequality seen over the past decade was not usually accompanied by an increase in the gdp share of earnings. This means that the improvement in personal income distribution was not matched by an improvement in functional distribution.

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This article analyses the trend of unfair inequality in Brazil (1995-2009) using a nonparametric approach to estimate the income function. The entropy metrics introduced by Li, Maasoumi and Racine (2009) are used to quantify income differences separately for each effort variable. A Gini coefficient of unfair inequality is calculated, based on the fitted values of the non-parametric estimation; and the robustness of the estimations, including circumstantial variables, is analysed. The trend of the entropies demonstrated a reduction in the income differential caused by education. The variables “hours worked” and “labour-market status” contribute significantly to explaining wage differences imputed to individual effort; but the migratory variable had little explanatory power. Lastly, the robustness analysis demonstrated the plausibility of the results obtained at each stage of the empirical work.