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Using the Dagum model to explain changes in personal income distribution

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  • Carmelo Garcia Perez
  • Mercedes Prieto Alaiz

Abstract

This article studies the evolution of personal income distribution in Spain from 1995 to 2005 using the Dagum model. Dagum's three parameter model (type I) provides a good fitting to empirical income distributions in Spain. Moreover, its parameters can be interpreted as economic indicators of income distribution changes. After studying the economic interpretation of the Dagum model parameters, we analyse the impact of parameter changes on different income percentiles and also on the evolution of inequality in Spain using data from the European Community Household Panel (ECHP) and the European Union Statistics on Income and Living Conditions (EU-SILC).

Suggested Citation

  • Carmelo Garcia Perez & Mercedes Prieto Alaiz, 2011. "Using the Dagum model to explain changes in personal income distribution," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4377-4386.
    • Handle: RePEc:taf:applec:v:43:y:2011:i:28:p:4377-4386
    DOI: 10.1080/00036846.2010.491459
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    References listed on IDEAS

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    1. Mercedes Prieto Alaiz & Maria-Pia Victoria-Feser, 1996. "Modelling Income Distribution in Spain: A Robust Parametric Approach," STICERD - Distributional Analysis Research Programme Papers 20, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
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    Cited by:

    1. Tsvetana Spasova, 2019. "Regional Income Distribution in the European Union: A Parametric Approach," Research on Economic Inequality, in: What Drives Inequality?, volume 27, pages 1-18, Emerald Group Publishing Limited.
    2. Vladimir Hlasny, 2021. "Parametric representation of the top of income distributions: Options, historical evidence, and model selection," Journal of Economic Surveys, Wiley Blackwell, vol. 35(4), pages 1217-1256, September.
    3. Domma, Filippo & Condino, Francesca & Giordano, Sabrina, 2018. "A new formulation of the Dagum distribution in terms of income inequality and poverty measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 104-126.
    4. Fernández-Morales, Antonio, 2016. "Measuring poverty with the Foster, Greer and Thorbecke indexes based on the Gamma distribution," MPRA Paper 69648, University Library of Munich, Germany.
    5. Garc𨀍 & Prieto-Alaiz & Sim, 2013. "The influence of macroeconomic factors on personal income distribution in developing countries: a parametric modelling approach," Applied Economics, Taylor & Francis Journals, vol. 45(30), pages 4323-4334, October.

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