Methods of measuring inequality in population incomes
Acknowledgments
исследование проведено при финансовой поддержке РГНФпроект №16 — 02 – 00533/16
How to Cite
Kolmakov I.B. Methods of measuring inequality in population incomes. Population. 2017. Vol. 20. No. 2. P. 81-91. (in Russ.).
Abstract
The article proposes to expand the number of indicators characterizing inequality of population by the level of average monetary per capita income (AMPCI). The Gini index does not contain quantitative estimations of the incomes of different population groups. The funds ratio does not reflect the full picture of the existing inequality. Therefore, the author proposes economically based indicators of monetary income in equality called polarization indices. Using different characteristics of the lognormal distribution of population by monetary per capita income — average per capita income, mode and median — as the boundaries dividing the total population into two groups with the incomes above and below the set lines, the author calculates and compares estimates of the average per capita monetary incomes in these population groups. It has been found that the values of polarization indices depend only on the values of the normalized Laplace functions, the arguments of which are various shares of the standard deviation of income logarithm.
Keywords:
inequality, monetary per capita income, lognormal distribution, distribution parameters, indices of polarization
References
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Velikanova T., Kolmakov I., Frolova E. Sovershenstvovaniye metodiki i modeley raspre-deleniya naseleniya po srednedushevomu dokhodu [Improving the methods and models of population distribution by average per capita income]. Voprosy statistiki [Statistical Studies]. 1996. № 5. P. 50-58.
Velikanova T. Sredniy, mediannyy i modal'nyy uroven' denezhnykh dokhodov naseleniya v tselom po Rossii i po sub"yektam Rossiyskoy Federatsii [Average, median and modal lev-els of population monetary incomes for Russia on the whole and by the Russian Federa-tion subjects]. Available at: http://www.gks.ru/free_doc/new_site/population/ bed-nost/tabl/tab-bed1-2-6.htm (Accessed: 29 April 2017)
Sotsial'noye polozheniye i uroven' zhizni naseleniya Rossii [Social Status and Living Stand-ards of the Russian Population]. Statistical handbook. Moscow. Rosstat. 2000-2016.
Kolmakov I. Metodologiya izmereniya neravenstva denezhnykh dokhodov naseleniya: analiz i prognoz pokazateley differentsiatsii i polyarizatsii [Methodology for measuring in-equality of the population monetary incomes: analysis and forecast of differentiation and polarization]. Audit i finansovyy analiz [Audit and Financial Analysis]. Moscow. 2016. №6. P. 409-424.
Kolmakov I. Metodologiya analiza integral'nykh otsenok pokazateley polyarizatsii denezh-nykh dokhodov naseleniya [Methodology for analysis of integral estimates of the indica-tors of polarization of the population monetary incomes]. Moscow. Voprosy statistiki [Sta-tistical Studies]. 2015. № 2. P. 23-26.
Kolmakov I. Metody i modeli prognozirovaniya pokazateley differentsiatsii i polyarizatsii denezhnykh dokhodov naseleniya [Methods and models of forecasting the indicators of differentiation and polarization of the population monetary incomes]. Moscow. Thesis of the Doctoral diss. 2008.
Milanovic B. Global'noye neravenstvo dokhodov v tsifrakh: na protyazhenii istorii i v nas-toyashcheye vremya: obzor: doklad k XV Apr. mezhdunarodnoy nauchnoy konferentsii po problemam razvitiya ekonomiki i obshchestva [Global Income Inequality in Numbers: in His-tory and Now. Overview of the reports at the XV April international scientific conf. on de-velopment of economy and society]. Moscow, April 1-4, 2014. (in Russian). Moscow. Iz-datel'skiy dom Vysshey shkoly ekonomiki [Higher School of Economics]. 2014.
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APA
Kolmakov, I. B. (2017). Methods of measuring inequality in population incomes. Population, 20(2), 81-91. Retrieved from https://www.jour.fnisc.ru/index.php/population/article/view/6541
Section
METHODS OF MATHEMATICAL STATISTICS IN THE ANALYSIS OF WELL-BEING