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Review Of Inequality Metrics With Application In Income Inequality In Louisiana

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  • Mihaela Paun

    (Louisiana Tech University)

Abstract

Economic data sets usually are, by their nature, very large and therefore researchers naturally want to analyze the distribution of the data set and make statistical inference about various parameters of interest, such as means, medians, variances, etc. To perform such tasks several incomes metrics or indices are generally used. Among the metrics widely used, we will consider in this paper only three: Lorenz curve, the the so-called S-Gini index and the Atkinson index. We also consider a general index of economic inequality that covers a number of indices, including the aforementioned S-Gini and Atkinson indices.

Suggested Citation

  • Mihaela Paun, 2008. "Review Of Inequality Metrics With Application In Income Inequality In Louisiana," Romanian Economic Business Review, Romanian-American University, vol. 3(3), pages 82-88, September.
    • Handle: RePEc:rau:journl:v:3:y:2008:i:3:p:82-88
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    References listed on IDEAS

    as
    1. Gastwirth, Joseph L, 1972. "The Estimation of the Lorenz Curve and Gini Index," The Review of Economics and Statistics, MIT Press, vol. 54(3), pages 306-316, August.
    2. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
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