scholarly journals Gini index based initial coin offering mechanism

2021 ◽  
Vol 36 (1) ◽  
Author(s):  
Mingyu Guo ◽  
Zhenghui Wang ◽  
Yuko Sakurai
Keyword(s):  
Gini Index

scholarly journals An (almost) unbiased estimator for the S-Gini index

2010 ◽  
Vol 10 (1) ◽  
pp. 109-126 ◽  
Author(s):  
Thomas Demuynck
Keyword(s):  
Unbiased Estimator ◽  
Gini Index ◽  
Almost Unbiased

scholarly journals GiniClust: detecting rare cell types from single-cell gene expression data with Gini index

2016 ◽  
Vol 17 (1) ◽  
Author(s):  
Lan Jiang ◽  
Huidong Chen ◽  
Luca Pinello ◽  
Guo-Cheng Yuan
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Gene Expression Data ◽  
Gini Index ◽  
Cell Types ◽  
Expression Data ◽  
Cell Gene Expression ◽  
Cell Gene

On Thon's axiomatization of the Gini index

1986 ◽  
Vol 11 (2) ◽  
pp. 191-194 ◽  
Author(s):  
Alain Trannoy
Keyword(s):  
Gini Index

Lorenz Curve and Gini Index

1990 ◽  
Vol 40 (1-4) ◽  
pp. 307-324
Author(s):  
T. S. K. Moothathu
Keyword(s):  
Lorenz Curve ◽  
Gini Index

Income-inequality and rate of doctors per inhabitant and their influence on esophageal cancer mortality in Brazil.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16089-e16089
Author(s):  
Jean Henri Schoueri ◽  
Luis Eduardo Werneck De Carvalho ◽  
Isabella Batista Martins Portugal ◽  
Manuela de Almeida Roediger ◽  
Edige Felipe de Sousa Santos ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Income Inequality ◽  
Cancer Mortality ◽  
Gini Index ◽  
Economic Status ◽  
Geographical Location ◽  
Secondary Data ◽  
Mortality Rates ◽  
World Health ◽  
Unified Health System

e16089 Background: There are substantial disparities in esophageal cancer mortality across different social groups, including sex, race/ethnicity, geographical location and socio-economic status. Methods: This is an ecological study with secondary data from 2016 to 2018 that evaluated the effects of income-inequality and number of doctors per inhabitant on esophageal cancer mortality in Brazil and its Federative Units. The amount of deaths and the overall number of doctors were obtained from the Department of Informatics of the Unified Health System. Mortality was estimated per 100,000 individuals and age-standardized through the World Health Organization’s population, whereas the rate of doctor per inhabitant was calculated per 1,000 inhabitants. Income-Inequality was measured by the Gini index, obtained from the United Nations Development Programme. Linear regression was performed by the stepwise backward method. Results: Sex, Gini index values and oncology surgeons were all related to lower mortality rates (p < 0.05), whereas clinical oncologists and general surgeons were both associated with higher mortality (p < 0.05). Conclusions: Esophageal cancer mortality rates were influenced by both the type and amount of doctors per inhabitant of any given administrative region in Brazil, however there was no association found with regards to income inequality.[Table: see text]

The Contest for Olympic Success as a Public Good

2013 ◽  
Author(s):  
Loek Groot
Keyword(s):  
Lorenz Curve ◽  
Gini Index ◽  
World Population ◽  
Level Playing Field ◽  
Actual Distribution ◽  
Playing Field ◽  
Inequality Measures ◽  
The Rich ◽  
The Lorenz Curve ◽  
Rich Countries

In this study it is demonstrated that standard income inequality measures, such as the Lorenz curve and the Gini index, can successfully be applied to the distribution of Olympic success. Olympic success is distributed very unevenly, with the rich countries capturing a disproportionately higher share compared to their world population share, which suggests that the Olympic Games do not provide a level playing field. The actual distribution of Olympic success is compared with alternative hypothetical distributions, among which are chosen the distribution according to population shares, the welfare optimal distribution under the assumption of zero government expenditures, and the non-cooperating Nash-Cournot distribution. By way of conclusion, a device is proposed to make the distribution of Olympic success more equitable.

Changes in Income Distribution in Brazil

2018 ◽  
Author(s):  
Rodolfo Hoffmann
Keyword(s):  
Income Inequality ◽  
Household Income ◽  
Gini Index ◽  
Military Coup ◽  
Transfer Programs ◽  
Per Capita ◽  
The Government ◽  
The Military ◽  
The Impact ◽  
Very High

Income inequality in Brazil, already high, increased after the military coup of 1964 and remained very high even after democratization in the 1980s. It decreased substantially in the period 2001–2014, after inflation was controlled. The Gini index of the per capita household income dropped from 0.594 in 2001 to 0.513 in 2014. The determinants of this decline in inequality are analyzed considering the components of that income and how each one affected changes in inequality, showing the impact of changes in the remuneration of private sector employees and in pensions paid by the government, as well as federal transfer programs. Changes in education lie behind the first of these effects, and the increase of the minimum wage reinforced all three. The economic crises after 2014 interrupted the process of decline, and among economically active persons, inequality even increased from 2014 to 2015. Measures to further reduce inequality are suggested.

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