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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 ...
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 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.
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.
For example, in the chart at right, US income share of top earners was approximately constant from the mid-1950s to the mid-1980s, then increased from the mid-1980s through 2000s; this increased inequality was reflected in the Gini coefficient. For example, in 2007 the top decile (10%) of US earners accounted for 49.7% of total wages (times ...
The concept of inequality is distinct from that of poverty [5] and fairness. Income inequality metrics (or income distribution metrics) are used by social scientists to measure the distribution of income, and economic inequality among the participants in a particular economy, such as that of a specific country or of the world in general.
For example, the Gini coefficient for wealth inequality increased from 0.80 in 1983 to 0.84 in 1989. In the same year, 1989, the Gini coefficient for income was only 0.52. [56] The Gini coefficient is an economic tool on a scale from 0 to 1 that measures the level of inequality. 1 signifies perfect inequality and 0 represents perfect equality.
In another example, The Economist propounds that a swelling corporate financial and banking sector has caused Gini Coefficients to rise in the U.S. since 1980: "Financial services' share of GDP in America doubled to 8% between 1980 and 2000; over the same period their profits rose from about 10% to 35% of total corporate profits, before ...