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. © 2012 Elsevier B.V.

Income inequality dynamic measurement of Markov models: Application to some European countries / Guglielmo, D'Amico; Giuseppe Di, Biase; Manca, Raimondo. - In: ECONOMIC MODELLING. - ISSN 0264-9993. - STAMPA. - 29:5(2012), pp. 1598-1602. [10.1016/j.econmod.2012.05.019]

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

MANCA, Raimondo
2012

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. © 2012 Elsevier B.V.
2012
income distribution; dynamic theil's entropy; multistate model; economic policies
01 Pubblicazione su rivista::01a Articolo in rivista
Income inequality dynamic measurement of Markov models: Application to some European countries / Guglielmo, D'Amico; Giuseppe Di, Biase; Manca, Raimondo. - In: ECONOMIC MODELLING. - ISSN 0264-9993. - STAMPA. - 29:5(2012), pp. 1598-1602. [10.1016/j.econmod.2012.05.019]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/469616
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