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1

Ramachandran, K. S. Marketing strategies vis-à-vis income disparities: Gini coefficient for managers. J.K. Business School, 2009.

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2

Arkhiereev, S. I. Za mez︠h︡amy vyboru miz︠h︡ efektyvnisti︠u︡ ta spravedlyvisti︠u︡: Miz︠h︡narodnyĭ pidkhid = Beyond the limits of the equity-efficiency trade-off : an international approach = Za predelami vybora mezhdu ėffektivnostʹi︠u︡ i spravedlivostʹi︠u︡ : mezhdunarodnyĭ podkhod. KhNU imeni V.N. Karazina, 2008.

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1957-, Slottje Daniel Jonathan, and Raj Baldev 1941-, eds. Income inequality, poverty, and economic welfare. Physica-Verlag, 1998.

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4

Leibbrandt, M. V. The contribution of income components to income inequality in South Africa: A decomposable Gini analysis. World Bank, 1996.

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5

S, Ramachandran K. The economy of Gurgaon: The development agenda : human development indicators - standard of living - Gini index. JK Business School, 2010.

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6

Gianni, Betti, and Lemmi Achille, eds. Advances on income inequality and concentration measures. Routledge, 2008.

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7

Zhu, Susan Chun. Ginis in general equilibrium: Trade, technology and southern inequality. National Bureau of Economic Research, 2001.

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8

Razavi, Shahra, Umberto Cattaneo, Helmut Schwarzer, and Andrea Visentin. Combating inequalities. ILO, 2024. http://dx.doi.org/10.54394/eoay4970.

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The primary aim of this study is to provide evidence regarding the impact of social protection benefits, taxes and social security contributions in reducing income inequalities. The study employs a well-established methodology to estimate the partial redistributive effect of contributory and non-contributory pensions, family benefits, unemployment benefits, sickness and employment injury benefits, disability benefits, social security contributions, as well as income and property taxes. The partial redistributive effect corresponds to the percentage decrease in the Gini coefficient that is attr
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9

Thomas, Vinod. Measuring education inequality: Gini coefficients of education. World Bank Institute, Office of the Vice President, and Economic Policy and Poverty Reduction Division, 2001.

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10

Schechtman, Edna, and Shlomo Yitzhaki. Gini Methodology: A Primer on a Statistical Methodology. Springer London, Limited, 2012.

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11

Mukhopadhyay, Nitis, and Partha Pratim Sengupta. Gini Inequality Index. Taylor & Francis Group, 2021.

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12

Schechtman, Edna, and Shlomo Yitzhaki. The Gini Methodology: A Primer on a Statistical Methodology. Springer, 2012.

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13

Schechtman, Edna, and Shlomo Yitzhaki. The Gini Methodology: A Primer on a Statistical Methodology. Springer, 2012.

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14

Schechtman, Edna, and Shlomo Yitzhaki. The Gini Methodology: A Primer on a Statistical Methodology. Springer, 2014.

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15

Marketing strategies vis-a-vis income disparities: Gini coefficient for managers. J.K. Business School, 2009.

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16

Marketing strategies vis-a-vis income disparities: Gini coefficient for managers. J.K. Business School, 2009.

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17

Gini Inequality Index: Methods and Applications. CRC Press LLC, 2023.

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18

Mukhopadhyay, Nitis, and Partha Pratim Sengupta. Gini Inequality Index: Methods and Applications. Taylor & Francis Group, 2021.

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19

Mukhopadhyay, Nitis, and Partha Pratim Sengupta. Gini Inequality Index: Methods and Applications. Taylor & Francis Group, 2021.

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20

Gini Inequality Index: Methods and Applications. Taylor & Francis Group, 2021.

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21

Advances on income inequality and concentration measures. Routledge, 2008.

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22

Spór o społeczne znaczenie społecznych nierówności. Wydawnictwo Naukowe Uniwersytetu im. Adama Mickiewicza, 2009.

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23

(Editor), Daniel J. Slottje, and Baldev Raj (Editor), eds. Income Inequality, Poverty, and Economic Welfare (Studies in Empirical Economics). Springer-Verlag Telos, 1999.

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24

Noglo, Yawo Agbényégan. Monetary inequality among households in Togo: An illustration based on the decomposition of the Gini coefficient using the Shapley value approach. UNU-WIDER, 2014. http://dx.doi.org/10.35188/unu-wider/2014/872-8.

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25

Jara, H. Xavier, Lourdes Montesdeoca, and Iva Tasseva. The role of automatic stabilizers and emergency tax–benefit policies during the COVID-19 pandemic in Ecuador. 4th ed. UNU-WIDER, 2021. http://dx.doi.org/10.35188/unu-wider/2021/938-9.

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This paper makes use of tax–benefit microsimulation techniques to quantify the distributional effects of COVID-19 in Ecuador and the role of tax–benefit policies in mitigating the immediate impact of the economic shocks. Our results show a dramatic increase in income poverty and inequality between December 2019 and June 2020. The poverty rate, measured with the national poverty line, goes up from 25.7 to 58.2 per cent over this period and extreme poverty increases from 9.2 to 38.6 per cent. Inequality measured by the Gini coefficient increases substantially from 0.461 to 0.592. On average, hou
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26

Advances on Income Inequality and Concentration Measures. Routledge, 2008.

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27

Rose, Adam, Dan Wei, and Antonio Bento. Equity Implications of the COP21 Intended Nationally Determined Contributions to Reduce Greenhouse Gas Emissions. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198813248.003.0004.

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This chapter examines the equity implications of the “bottom-up” approach to climate change negotiations by analyzing the individual country unconditional greenhouse gas reduction pledges specified in the COP21 Agreement of 2015. It compares the implications before and after emissions trading in terms of the standard equity metrics of the Gini coefficient and Atkinson index for three major countries/regions: the European Union, China, and California. The chapter adapts a nonlinear programming model well suited to this purpose that determines the equilibrium emissions allowance price, mitigatio
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28

Thomas, Vinod, Yan Wang, and Xibo Fan. Measuring Education Inequality: Gini Coefficients of Education. The World Bank, 1999. http://dx.doi.org/10.1596/1813-9450-2525.

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29

Houle, Christian. Does Inequality Harm Economic Development and Democracy? Edited by Carol Lancaster and Nicolas van de Walle. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199845156.013.4.

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This article examines whether economic inequality undermines economic development and democracy in the long run. After reviewing the literature on the effect of inequality on economic development and democracy, it considers three approaches that have been put forward to explain why inequality harms the economy and democracy: (1) the political economy approach, (2) the social unrest approach, and (3) the credit market imperfections approach. A complete data set on inequality is generated using three measures of inequality: the capital share data set of Ortega and Rodriguez (2006), the Gini coef
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