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Income Inequality by Method of Non-weighted Average Absolute Deviation: case study of Central and Eastern European Countries

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  • Kamila Tureckova

    (Silesian University in Opava; School of Business Administration in Karviná)

Abstract

The presented article uses the method of non-weighted average absolute deviation for expressing income inequality in the 11 selected Central and Eastern European Countries. Specifically, the analysis of income inequality is done for Poland, Czech Republic, Slovak Republic, Austria, Slovenia, Hungary, Romania, Bulgaria, Latvia, Lithuania and Estonia. Based on the determination of income inequality in the article there is made an analysis of development of income inequality, including the subsequent inter-regional comparison in the context of the degree of income inequality in a given human society and economy. The text of this article is organized in 4 parts, after Introduction follows the analytic chapter where is primarily the method of non-weighted average absolute deviation explained. The third part contains the empirical analysis of income inequality and the Conclusion highlights some major conclusions of detailed analysis made in chapter 3. The analysis of income distribution of 11 European households between years 2005-2013 and its order is made in deciles based on empirical data from the Statistics on Living Conditions and Welfare published by Eurostat.

Suggested Citation

  • Kamila Tureckova, 2015. "Income Inequality by Method of Non-weighted Average Absolute Deviation: case study of Central and Eastern European Countries," Working Papers 115/2015, Institute of Economic Research, revised Apr 2015.
    • Handle: RePEc:pes:wpaper:2015:no115
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    References listed on IDEAS

    as
    1. Baochun Peng, 2014. "Status and income inequality in a knowledge economy," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(4), pages 581-595, December.
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    More about this item

    Keywords

    income inequality; index; comparison; method of non-weighted average absolute deviation;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

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