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A Guide to the Dagum Distributions

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  • Kleiber, Christian

    () (University of Basel)

Abstract

In a series of papers in the 1970s, Camilo Dagum proposed several variants of NEWLINE a new model for the size distribution of personal income. This Chapter traces the NEWLINE genesis of the Dagum distributions in applied economics and points out parallel NEWLINE developments in several branches of the applied statistics literature. It also provides NEWLINE interrelations with other statistical distributions as well as aspects that are of special NEWLINE interest in the income distribution feld, including Lorenz curves and the Lorenz order NEWLINE and inequality measures. The Chapter ends with a survey of empirical applications NEWLINE of the Dagum distributions, many published in Romance language periodicals.

Suggested Citation

  • Kleiber, Christian, 2007. "A Guide to the Dagum Distributions," Working papers 2007/23, Faculty of Business and Economics - University of Basel.
  • Handle: RePEc:bsl:wpaper:2007/23
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    References listed on IDEAS

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    1. repec:spr:jstada:v:4:y:2017:i:1:d:10.1186_s40488-017-0079-y is not listed on IDEAS
    2. Melanie Krause, 2014. "Parametric Lorenz Curves and the Modality of the Income Density Function," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 905-929, December.
    3. Lucio De Capitani & Federica Nicolussi & Alessandro Zini, 2017. "Trivariate Burr-III copula with applications to income data," METRON, Springer;Sapienza Università di Roma, vol. 75(1), pages 109-124, April.
    4. Markus P. A. Schneider, 2013. "Race & Gender Differences in the Experience of Earnings Inequality in the US from 1995 to 2010," Working Papers 1303, New School for Social Research, Department of Economics.
    5. Filippo Domma & Sabrina Giordano, 2012. "A stress–strength model with dependent variables to measure household financial fragility," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(3), pages 375-389, August.
    6. Kazuhiko Kakamu, 2016. "Simulation Studies Comparing Dagum and Singh–Maddala Income Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 48(4), pages 593-605, December.
    7. F. Clementi & M. Gallegati & G. Kaniadakis, 2012. "A generalized statistical model for the size distribution of wealth," Papers 1209.4787, arXiv.org, revised Dec 2012.
    8. A. Abigail Payne & Justin Smith, 2015. "Does income inequality increase charitable giving?," Canadian Journal of Economics, Canadian Economics Association, vol. 48(2), pages 793-818, May.
    9. Camelia Minoiu & Sanjay Reddy, 2014. "Kernel density estimation on grouped data: the case of poverty assessment," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 12(2), pages 163-189, June.
    10. Markus Schneider, 2013. "Illustrating the Implications of How Inequality is Measured: Decomposing Earnings Inequality by Race and Gender," Journal of Labor Research, Springer, vol. 34(4), pages 476-514, December.
    11. repec:gam:jecomi:v:5:y:2017:i:2:p:14-:d:97287 is not listed on IDEAS
    12. Filippo Domma & Sabrina Giordano, 2013. "A copula-based approach to account for dependence in stress-strength models," Statistical Papers, Springer, vol. 54(3), pages 807-826, August.
    13. Frank A. Cowell & Philippe Kerm, 2015. "Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 671-710, September.
    14. Elbers, Chris & van der Weide, Roy, 2014. "Estimation of normal mixtures in a nested error model with an application to small area estimation of poverty and inequality," Policy Research Working Paper Series 6962, The World Bank.
    15. Fabio Clementi & Mauro Gallegati & Giorgio Kaniadakis, 2012. "A new model of income distribution: the κ-generalized distribution," Journal of Economics, Springer, vol. 105(1), pages 63-91, January.
    16. Brzezinski, Michal, 2014. "Empirical modeling of the impact factor distribution," Journal of Informetrics, Elsevier, vol. 8(2), pages 362-368.
    17. Alberto Arcagni & Francesco Porro, 2013. "On the parameters of Zenga distribution," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(3), pages 285-303, August.

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