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Open AccessArticle

Decomposition of the Inequality of Income Distribution by Income Types—Application for Romania

1
Department of Statistics and Econometrics, Bucharest University of Economic Studies, București 010374, Romania
2
Department of Economic and Administrative Sciences, University of Bucharest, București 050107, Romania
3
School of Physics, Trinity College Dublin, Dublin 2, Ireland
4
School of Business, London South Bank University, London SE1 0AA, UK
*
Authors to whom correspondence should be addressed.
Entropy 2017, 19(9), 430; https://doi.org/10.3390/e19090430
Received: 31 July 2017 / Revised: 15 August 2017 / Accepted: 16 August 2017 / Published: 1 September 2017
(This article belongs to the Special Issue Statistical Mechanics of Complex and Disordered Systems)
This paper identifies the salient factors that characterize the inequality income distribution for Romania. Data analysis is rigorously carried out using sophisticated techniques borrowed from classical statistics (Theil). Decomposition of the inequalities measured by the Theil index is also performed. This study relies on an exhaustive (11.1 million records for 2014) data-set for total personal gross income of Romanian citizens. View Full-Text
Keywords: income inequality; Theil index; disjoint groups; decomposition income inequality; Theil index; disjoint groups; decomposition
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Andrei, T.; Oancea, B.; Richmond, P.; Dhesi, G.; Herteliu, C. Decomposition of the Inequality of Income Distribution by Income Types—Application for Romania. Entropy 2017, 19, 430.

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