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Polarization: Concepts, Measurement, Estimation

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  • Jean-Yves Duclos

    ()

  • Debraj Ray
  • Joan Esteban

    ()

Abstract

The purpose of this paper is two-fold. First, we develop the measurement theory of polarization for the case in which asset distributions can be described using density functions. Second, we provide sample estimators of population polarization indices that can be used to compare polarization across time or entities. Distribution-free statistical inference results are also derived in order to ensure that the orderings of polarization across entities are not simply due to sampling noise. An illustration of the use of these tools using data from 21 countries shows that polarization and inequality orderings can often differ in practice.

Suggested Citation

  • Jean-Yves Duclos & Debraj Ray & Joan Esteban, 2002. "Polarization: Concepts, Measurement, Estimation," LIS Working papers 335, LIS Cross-National Data Center in Luxembourg.
  • Handle: RePEc:lis:liswps:335
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    References listed on IDEAS

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    1. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
    2. Bishop, John A & Chakraborti, S & Thistle, Paul D, 1989. "Asymptotically Distribution-Free Statistical Inference for Generalized Lorenz Curves," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 725-727, November.
    3. Charles M. Beach & Russell Davidson, 1983. "Distribution-Free Statistical Inference with Lorenz Curves and Income Shares," Review of Economic Studies, Oxford University Press, vol. 50(4), pages 723-735.
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