Gini coefficient

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    increase in GDP, both the Human Development Index and Gini coefficient is still at an all-time low despite the growth. Brazil’s HDI is ranked seventy-five compared to other states (which shows that money is not being distributed in the proper places because corruption is a still a major issue); the Gini coefficient is another factor of corruption (52.9 ). Since the GDP is $2.346, you would expect for the income of the individuals (the Gini coefficient) to be just as high, but in this region, wealth is

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    Gender discrimination has always been a problem that affected our society, where women were and continue to be treated inferior to men and were downgraded to do domestic work. Although there have been several reforms in trying to lower inequality against women because of the now-known great importance to the development of society, it still, nonetheless plagues our society. The promotion of gender equality is co-existent with social protection and the first step to combating gender inequality, while

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    Premature Mortality in US Cities. The article focuses on juxtaposing income inequality and premature mortality rate, with several variables. These are: “percentage in poverty”, “percentage non-Hispanic Black”, “Income inequality measured by the Gini coefficient”, “city financial expenditures” “mayoral type” and “party affiliation” (Ronzio, Pamuk, Squires 176). In their survey of the existing literature, the researchers sought to reveal connections between a high level of income inequality within a

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    To understand the causes of inequality one must first know what inequality is. Inequality is the extent to which income is distributed unevenly in a group of people. It is the disproportionate ownership of resources between different sections of the society. Inequality is typically thought of as differences between individuals within a population, normally a country, though it can also be considered for smaller or larger populations. Thus it is important to consider inequality between groups of

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    Income Inequality Paper

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    assessed by using “Gini coefficient” (Gini, 1909) and it is one of the commonly used measurement tools across the globe. The Gini coefficient is normally explained by using Lorenz curve where the income of individuals are arranged from the lowest income level to the highest income level (Lorenz, 1905). A Gini coefficient with zero means perfect equality, whistle one or 100 percent means maximum inequality (Rogerson, 2013) . Based on income inequality measurement tool; Gini coefficient, Wilkins (2014a)

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    The Gini coefficients of rural populations increased about 75% and the urban increased about 113% in these 30 years. Moreover, the aggregate Gini coefficient for China reached 0.4 by 2000, which imply the serious income inequality of China in general. At the same time, the class formation is also getting serious from these 30 years

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    A study area is the region of the U.S. Lake States, including Michigan, Minnesota, and Wisconsin. In the region, about 27% of the estimated 20.8 million people reside in rural areas. Over 96% of the lands are considered as rural areas. Traditionally, the region had economically dependent on natural resource extraction and related low-skill manufacturing industries (Hamilton et al., 2008). However, such industries are recently weakened by globalization and rising policies on protection of natural

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    set by the government which dictates a person's status. The Gini coefficient is the most common way which is used to measure income inequality (Fernando,2007). The Gini coefficient measures inequality overall of the society and compares different incomes from all groups. The country's Gini coefficient is currently at 0.35. If all the income went to that one person and everyone else received nothing, the Gini coefficient would be as an equal to 1. So, when the income is shared

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    interested in the income inequality in South Korea during crisis(1997) among income groups compare to mid – 1970s to see how much the level of income inequality change by looking at the direction of these indicators the data from income shares, gini coefficient, headcount index, and mean consumption per month in South

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    Income inequality Gini Coefficient: Gini Coefficient is measure of inequality on a scale of zero and one, if the score is “0” it implies all population has the same income which means every household has the same income, if the score is “1” is the opposite, where everyone has unequal income and is at perfect inequality. If only one household has all the income then the score would be “1”, which refers to complete inequality. A research report on OECD countries reflect AUS is the eleventh most unequal

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