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Libri sul tema "Gini coefficiency"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 1 febbraio 2022

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1

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

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2

Zhongguo ji ni xi shu ji qi fen jie fen xi: Li lun, fang fa he ying yong. Beijing: Zhongguo jing ji chu ban she, 2013.

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3

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. Kharkiv: KhNU imeni V.N. Karazina, 2008.

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4

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

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5

The dynamics of inequality and poverty: Comparing income distributions. Cheltenham, UK: E. Elgar, 1998.

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6

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

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7

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

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8

Fang fa, zhi du, shu ju: Dui wai jing ji mao yi tong ji yan jiu. Beijing Shi: Dui wai jing ji mao yi da xue chu ban she, 2001.

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9

Lorenzkurvendisparität: Neuere Entwicklungen, Erweiterungen und Anwendungen. Frankfurt am Main: P. Lang, 1997.

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10

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

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11

Thomas, Vinod, Yan Wang e 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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12

Houle, Christian. Does Inequality Harm Economic Development and Democracy? A cura di Carol Lancaster e 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 coefficients data set of Solt (2009), and the income Gini coefficients of the “Estimated Household Income Inequality” (EHII) data set, developed by the University of Texas Inequality Project (UTIP). The article then tests the relationship between inequality and democracy using dynamic probit models.

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13

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

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14

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

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15

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

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16

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

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17

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

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18

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

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19

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

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20

1957-, Slottje Daniel Jonathan, e Raj Baldev 1941-, a cura di. Income inequality, poverty, and economic welfare. Heidelberg: Physica-Verlag, 1998.

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21

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

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22

Gianni, Betti, e Lemmi Achille, a cura di. Advances on income inequality and concentration measures. Abingdon: Routledge, 2008.

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23

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

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Abstract (sommario):

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, household disposable income drops by 41 per cent. The new Family Protection Grant provides income protection for the poorest income decile. However, overall tax–benefit policies do little to mitigate the losses in household incomes due to the pandemic.

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24

Rose, Adam, Dan Wei e 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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Abstract (sommario):

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, mitigation costs, and allowance purchases and sales from trading. It also tests the sensitivity of the results to macroeconomic conditions and technological change. The findings are that the pledges made at COP21 reflect substantial inequality in general and run counter to most equity principles. They are definitely a major departure from the Egalitarian, Vertical, and Rawlsian equity principles proposed for many years by developing countries.

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25

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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