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Thus, a Gini coefficient that increases over time indicates rising income inequality." "The Gini coefficient can also be interpreted as a measure of one-half of the average difference in income between every pair of households in the population, divided by the average income of the total population.
The Italian statistician Corrado Gini developed the Gini coefficient and published it in his 1912 paper Variabilità e mutabilità (English: variability and mutability). [16] [17] Building on the work of American economist Max Lorenz, Gini proposed using the difference between the hypothetical straight line depicting perfect equality and the actual line depicting people's incomes as a measure ...
A score of "0" on the Gini coefficient represents complete equality, i.e. every person has the same income. A score of 1 would represent the case in which one person would have all the income and others would have none. Therefore, a lower Gini score is roughly associated with a more equal distribution of income and vice versa.
Compared to the Gini coefficient in practice, CV puts higher weight on the right tail of the scale, making it sensitive to the rich. Coefficient of variation may be a suitable choice of measure if the goal of a study is to analyze the wealth concentration at the top of the distribution. [17] [18]
This is a list of countries and territories by income inequality metrics, as calculated by the World Bank, UNU-WIDER, OCDE, and World Inequality Database, based on different indicators, like the Gini coefficient and specific income ratios.
The information in a Lorenz curve may be summarized by the Gini coefficient and the Lorenz asymmetry coefficient. [1] The Lorenz curve cannot rise above the line of perfect equality. A Lorenz curve that never falls beneath a second Lorenz curve and at least once runs above it, has Lorenz dominance over the second one. [5]
Post-tax Gini coefficient: 0.39. Unemployment rate: 4.4%. GDP per capita: $53 632. Poverty rate: 11.1%. [43] Low unemployment rate and high GDP are signs of the health of the U.S. economy. But there is almost 18% of people living below the poverty line and the Gini coefficient is quite high. That ranks the United States 9th income inequal in ...
The Gini Coefficient, a statistical measurement of the inequality present in a nation's income distribution developed by Italian statistician and sociologist Corrado Gini, for the United States has increased over the last few decades. The closer the Gini Coefficient is to one, the closer its income distribution is to absolute inequality.