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A Systematic Approach to the Generation of Income Distribution Models

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  • Camilo Dagum

Abstract

Since Pareto specified in 1895 his Type I model, scores of income distribution models have been proposed. In this study, almost all of these models are organized in three generating systems. The foundations of these system specifications and the basic properties that probability distribution functions should fulfill to be entertained as income distribution models are presented and analyzed. Their main scope is to guide the researchers to the choice of an appropriate and robust model to describe observed income distributions in different epochs and countries with different state of socioeconomic development, and according to several socioeconomic attributes of the observed populations.

Suggested Citation

  • Camilo Dagum, 1997. "A Systematic Approach to the Generation of Income Distribution Models," Journal of Income Distribution, Ad libros publications inc., vol. 6(1), pages 6-6, June.
    • Handle: RePEc:jid:journl:y:1997:v:06:i:1:p:6-6
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    File URL: http://jid.journals.yorku.ca/index.php/jid/article/view/675
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    Cited by:

    1. Diana Bílková, 2016. "Vliv délky praxe na výši mezd zaměstnanců v České republice od počátku hospodářské recese v roce 2009 [Influence of Length of Practice on Wages of Employees in the Czech Republic in the Period from," Politická ekonomie, Prague University of Economics and Business, vol. 2016(6), pages 674-694.
    2. Predrag R. Jelenković & Jian Tan, 2010. "Modulated Branching Processes, Origins of Power Laws, and Queueing Duality," Mathematics of Operations Research, INFORMS, vol. 35(4), pages 807-829, November.
    3. Diana Bílková, 2015. "What is About Wages in the Czech Education and Healthcare Sectors Before, during and after the Global Economic Recession?," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(1), pages 58-72, January.
    4. Nartikoev, Alan & Peresetsky, Anatoly, 2019. "Modeling the dynamics of income distribution in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 54, pages 105-125.

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