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Income inequality dynamic measurement of Markov models: Application to some European countries

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  • D'Amico, Guglielmo
  • Di Biase, Giuseppe
  • Manca, Raimondo

Abstract

In this paper we present a methodology for measuring income inequality dynamically within a Markov model of income evolution. The proposed methodology requires knowledge of the evolution of the population and the averages and medians of the incomes in a country and allows the computation of dynamic inequality indices. The methodology is supported with statistics from Eurostat data applied on France, Germany, Greece and Italy.

Suggested Citation

  • D'Amico, Guglielmo & Di Biase, Giuseppe & Manca, Raimondo, 2012. "Income inequality dynamic measurement of Markov models: Application to some European countries," Economic Modelling, Elsevier, vol. 29(5), pages 1598-1602.
    • Handle: RePEc:eee:ecmode:v:29:y:2012:i:5:p:1598-1602
    DOI: 10.1016/j.econmod.2012.05.019
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    References listed on IDEAS

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    2. George Athanasopoulos & Farshid Vahid, 2003. "Statistical Inference and Changes in Income Inequality in Australia," The Economic Record, The Economic Society of Australia, vol. 79(247), pages 412-424, December.
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    4. Quah, D., 1990. "Galton'S Fallacy And The Tests Of The Convergence Hypothesis," Working papers 552, Massachusetts Institute of Technology (MIT), Department of Economics.
    5. Quah, Danny T., 1996. "Empirics for economic growth and convergence," European Economic Review, Elsevier, vol. 40(6), pages 1353-1375, June.
    6. Geweke, John & Marshall, Robert C & Zarkin, Gary A, 1986. "Mobility Indices in Continuous Time Markov Chains," Econometrica, Econometric Society, vol. 54(6), pages 1407-1423, November.
    7. Xander Koolman & Eddy van Doorslaer, 2004. "On the interpretation of a concentration index of inequality," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 649-656, July.
    8. Shorrocks, A F, 1978. "The Measurement of Mobility," Econometrica, Econometric Society, vol. 46(5), pages 1013-1024, September.
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    Cited by:

    1. Guglielmo D'Amico & Filippo Petroni & Philippe Regnault & Stefania Scocchera & Loriano Storchi, 2019. "A copula based Markov Reward approach to the credit spread in European Union," Papers 1902.00691, arXiv.org.
    2. Guglielmo D'Amico & Riccardo De Blasis & Philippe Regnault, 2020. "Confidence sets for dynamic poverty indexes," Papers 2006.06595, arXiv.org.
    3. Guglielmo D’Amico & Philippe Regnault, 2018. "Dynamic Measurement of Poverty: Modeling and Estimation," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 80(2), pages 305-340, November.
    4. Nikolaos Stavropoulos & Alexandra Papadopoulou & Pavlos Kolias, 2021. "Evaluating the Efficiency of Off-Ball Screens in Elite Basketball Teams via Second-Order Markov Modelling," Mathematics, MDPI, vol. 9(16), pages 1-13, August.
    5. Guglielmo D’Amico & Philippe Regnault & Stefania Scocchera & Loriano Storchi, 2018. "A Continuous-Time Inequality Measure Applied to Financial Risk: The Case of the European Union," IJFS, MDPI, vol. 6(3), pages 1-16, June.
    6. D'Amico, Guglielmo & Di Biase, Giuseppe & Manca, Raimondo, 2014. "Decomposition Of The Population Dynamic Theil'S Entropy And Its Application To Four European Countries," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 55(2), pages 229-239, December.
    7. D’Amico, Guglielmo & Scocchera, Stefania & Storchi, Loriano, 2018. "Financial risk distribution in European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 252-267.
    8. Guglielmo D’Amico & Giuseppe Di Biase & Raimondo Manca, 2015. "Measuring Income Inequality: An Application Of The Population Dynamic Theil'S Entropy," Accounting & Taxation, The Institute for Business and Finance Research, vol. 7(1), pages 103-114.
    9. Guglielmo D'Amico & Stefania Scocchera & Loriano Storchi, 2021. "Randentropy: a software to measure inequality in random systems," Papers 2103.09107, arXiv.org.

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    More about this item

    Keywords

    Income distribution; Dynamic Theil's Entropy; Multistate model; Economic policies;
    All these keywords.

    JEL classification:

    • E64 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Incomes Policy; Price Policy
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications

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