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The Logic of Inequality Extraction: An Application to Gini and Top Incomes Data

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  • Andreas Exenberger

Abstract

As embodied in the concept of "inequality extraction" (Branko Milanovic), it is not possible to increase inequality (especially income inequality) in a society sustainably to levels beyond what is actually socially acceptable (and even less to levels endangering physical subsistence of parts of the population). Consequently, in international and intertemporal comparisons of inequality levels on the country (or the regional) level and for poorer societies in general, adaptations for the levels of inequality, which are actually feasible in physical and social terms, are necessary to arrive at meaningful conclusions. We extend this concept to cover also top-incomes ratios, which allows a broader database for measurement and analysis of cross-country historical inequality. A first look at the data uncovers different patterns and dynamics of inequality extraction when compared to untransformed inequality measures, sometimes to the point of trend reversal, which holds for extraction ratios based on Gini coefficients as well as top income shares. In the discussion, we also outline some directions of further research, especially about explanations of extraction patterns and dynamics, also with an application to global inequality data and in combination with institutional arrangements.

Suggested Citation

  • Andreas Exenberger, 2017. "The Logic of Inequality Extraction: An Application to Gini and Top Incomes Data," Working Papers 2017-09, Faculty of Economics and Statistics, Universität Innsbruck.
  • Handle: RePEc:inn:wpaper:2017-09
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    More about this item

    Keywords

    Gini coefficients; top income shares; inequality extraction; empirical application;
    All these keywords.

    JEL classification:

    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • N10 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - General, International, or Comparative
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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