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10 Feb 15
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A Gini coefficient of zero expresses perfect equality
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A Gini coefficient of one (or 100%) expresses maximal inequality
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Gini coefficient of 1 (or 100%) expresses maximal inequality
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03 Oct 14
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16 Dec 13
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26 Oct 13
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The Gini coefficient measures the inequality among values of a frequency distribution
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03 Jun 13
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Gini coefficient (also known as the Gini index or Gini ratio) is a measure of statistical dispersion
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measures the inequality among values of a frequency distribution (for example levels of income
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zero expresses perfect equality,
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2000s, considering the effect of taxes and transfer payments, the income Gini coefficient ranged between 0.24 to 0.49
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12 Apr 13
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The Gini coefficient (also known as the Gini index or Gini ratio) is a measure of statistical dispersion
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A Gini coefficient of zero expresses perfect equality, where all values are the same
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The Gini coefficient measures the inequality among values of a frequency distribution
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A Gini coefficient of one (100 on the percentile scale) expresses maximal inequality among values (for example where only one person has all the income).[3][4] However, a value greater than one may occur if some persons have negative income or wealth. For larger groups, values close to or above 1 are very unlikely in practice however.
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The Gini coefficient is usually defined mathematically based on the Lorenz curve, which plots the proportion of the total income of the population (y axis) that is cumulatively earned by the bottom x% of the population
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The line at 45 degrees thus represents perfect equality of incomes. The Gini coefficient can then be thought of as the ratio of the area that lies between the line of equality and the Lorenz curve (marked A in the diagram) over the total area under the line of equality (marked A and B in the diagram); i.e., G = A / (A + B).
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21 Jan 13
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The Gini coefficient is usually defined mathematically based on the Lorenz curve, which plots the proportion of the total income of the population (y axis) that is cumulatively earned by the bottom x% of the population (see diagram). The line at 45 degrees thus represents perfect equality of incomes. The Gini coefficient can then be thought of as the ratio of the area that lies between the line of equality and the Lorenz curve (marked A in the diagram) over the total area under the line of equality (marked A and B in the diagram); i.e., G = A / (A + B).
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07 Jan 13
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demographic structure should be taken into account. Countries with an aging population, or with a baby boom, experience an increasing pre-tax Gini coefficient even if real income distribution for working adults rem
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16 Oct 12
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05 Sep 12
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27 Aug 12
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The Gini coefficient measures the inequality among values of a frequency distribution (for example levels of income). A Gini coefficient of zero expresses perfect equality where all values are the same (for example, where everyone has an exactly equal income). A Gini coefficient of one (100 on the percentile scale) expresses maximal inequality among values
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For OECD countries, over 2008-2009 period, without considering the effect of taxes, income Gini coefficient ranged between 0.34 to 0.53, with South Korea the lowest and Italy the highest.
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The countries in Africa had the highest pre-tax Gini coefficients in 2008-2009, with South Africa the world's highest at 0.7.
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Gini coefficient has features that make it useful as a measure of dispersion in a population, and inequalities in particular.
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02 Jul 12
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27 May 12
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29 Apr 12
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The Gini coefficient measures the inequality among values of a frequency distribution (for example levels of income). A
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13 Oct 11
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The Gini coefficient is a measure of the inequality of a distribution, a value of 0 expressing total equality and a value of 1 maximal inequality. It has found application in the study of inequalities in disciplines as diverse as sociology, economics, health science, ecology, chemistry, engineering and agriculture.[3]
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29 Apr 11
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"Variability and Mutability"
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The Gini coefficient is a measure of the inequality of a distribution, a value of 0 expressing total equality and a value of 1 maximal inequality
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26 Mar 11
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The Gini coefficient is a measure of the inequality of a distribution, a value of 0 expressing total equality and a value of 1 maximal inequality.
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The Gini coefficient is usually defined mathematically based on the Lorenz curve, which plots the proportion of the total income of the population (y axis) that is cumulatively earned by the bottom x% of the population (see diagram). The line at 45 degrees thus represents perfect equality of incomes
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05 Mar 11
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The Gini coefficient is a measure of the inequality of a distribution, a value of 0 expressing total equality and a value of 1 maximal inequality
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03 Mar 11
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28 Sep 10
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12 Feb 10
jihshienlu"a measure of statistical dispersion developed by the Italian statistician Corrado Gini... It is commonly used as a measure of inequality of income or wealth... When used as a measure of income inequality, the most unequal society will be one in which a s
@Wikipedia Economics Finance Politics Sociology Math IndicatorIndexAndRatio
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P DGini coefficients do include income gained from wealth; however, the Gini coefficient is used to measure net income more than net worth, which can be misinterpreted. For example, Sweden has a low Gini coefficient for income distribution and a higher Gini coefficient for wealth (the wealth inequality is low by international standards, but still significant: 5% of Swedish household shareholders hold 77% of the share value owned by households)[9]. In other words, the Gini income coefficient should not be interpreted as measuring effective egalitarianism.
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In 2005 the Gini index for the EU was estimated at 31.[5]. This is surprisingly low, since the EU has virtually no interstate income redistribution power (the EU budget is only ~1% of the total GDP, there are no EU taxes, there is no EU social policy, and no EU treasury); moreover, a number of poorer new member states joined in 2004.
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Gini coefficients do include income gained from wealth; however, the Gini coefficient is used to measure net income more than net worth, which can be misinterpreted. For example, Sweden has a low Gini coefficient for income distribution and a higher Gini coefficient for wealth (the wealth inequality is low by international standards, but still significant: 5% of Swedish household shareholders hold 77% of the share value owned by households)[9]. In other words, the Gini income coefficient should not be interpreted as measuring effective egalitarianism.
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Care should be taken in using the Gini coefficient as a measure of egalitarianism, as it is properly a measure of income dispersion. Two equally egalitarian countries with different immigration policies may have different Gini coefficients.
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Comparing income distributions among countries may be difficult because benefits systems may differ. For example, some countries give benefits in the form of money while others give food stamps, which might not be counted by some economists and researchers as income in the Lorenz curve and therefore not taken into account in the Gini coefficient. The USA counts income before benefits, while France counts it after benefits, making the USA appear more unequal vis-a-vis France than it is. In another example, USSR appeared to have relatively high income inequality: by some estimates, in the late 70's, Gini coefficient of its urban population was as high as 0.38[11], which is higher than many Western countries today. This apparent inequality ignored the fact that many benefits received by Soviet citizens were nonmonetary and were afforded regardless of income: some of these benefits include free child care for children as young as 2 months, free elementary, secondary and higher education, free medical care, free or heavily subsidized housing. In this example, an accurate comparison between the 1970s USSR and Western countries would require one to assign monetary values to such benefits (a difficult task in the absence of free markets). Similar problems arise whenever a comparison between pure free-market economies and partially socialist economies is attempted. Benefits may take various and unexpected forms: for example, major oil producers such as Venezuela and Iran provide indirect benefits to its citizens by subsidizing the cost of gasoline.
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Mindy McAdamsA low Gini coefficient indicates more equal income or wealth distribution, while a high Gini coefficient indicates more unequal distribution. The Gini coefficient requires that no one have a negative net income or wealth. Worldwide, Gini coefficients rang
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Jay DuggerThe Gini coefficient is a measure of inequality used to measure income inequality, or any form of uneven distribution. The Gini coefficient is a number between 0 and 1, where 0 corresponds with perfect equality (where everyone has the same income) and 1 c
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