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Kernel Density Techniques as a Tool for Estimating and Comparing Income Distributions: A Cross European–Country Study

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  • Christos Papatheodorou
  • Paraskevi Peristera
  • Anastasia Kostaki

Abstract

This paper compares and assesses the income inequality between five European countries in the mid 1990’s, employing the non-parametric technique of kernel density estimation. The countries used in this inequality exercise were Germany, Hungary, Luxembourg, Poland and the United Kingdom, and the analysis was based on comparative data and variables provided by the PACO project. Kernel density estimates were found particularly revealing for comparing the shape of income distributions between populations, and for mapping the impact that differences in income polarization and concentration in various subgroups have on the overall income distribution of a country.

Suggested Citation

  • Christos Papatheodorou & Paraskevi Peristera & Anastasia Kostaki, 2004. "Kernel Density Techniques as a Tool for Estimating and Comparing Income Distributions: A Cross European–Country Study," Journal of Income Distribution, Ad libros publications inc., vol. 13(1-2), pages 2-2, March-Jun.
    • Handle: RePEc:jid:journl:y:2004:v:13:i:1-2:p:2-2
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    Cited by:

    1. John Paolo Rosales Rivera, 2022. "A nonparametric approach to understanding poverty in the Philippines: Evidence from the Family Income and Expenditure Survey," Poverty & Public Policy, John Wiley & Sons, vol. 14(3), pages 242-267, September.

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