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Economic inequality is an umbrella term for a) income inequality or distribution of income (how the total sum of money paid to people is distributed among them), b) wealth inequality or distribution of wealth (how the total sum of wealth owned by people is distributed among the owners), and c) consumption inequality (how the total sum of money spent by people is distributed among the spenders).
Economic inequality describes the uneven distribution of wealth, income, resources and opportunity to different groups of people in a society -- something America knows plenty about. The last...
Buildings in Rio de Janeiro, demonstrating economic inequality. Effects of income inequality, researchers have found, include higher rates of health and social problems, and lower rates of social goods, [1] a lower population-wide satisfaction and happiness [2] [3] and even a lower level of economic growth when human capital is neglected for high-end consumption. [4]
Writing in the Harvard Business Review in September 2014, William Lazonick blamed record corporate stock buybacks for reduced investment in the economy and a corresponding impact on prosperity and income inequality. Between 2003 and 2012, the 449 companies in the S&P 500 used 54% of their earnings ($2.4 trillion) to buy back their own stock.
Economic inequality in the United States has been steadily increasing since the 1980s as well and economists such as Paul Krugman, Joseph Stiglitz, and Peter Orszag, politicians like Barack Obama and Paul Ryan, and media entities have engaged in debates and accusations over the role of tax policy changes in perpetuating economic inequality.
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.
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.
Comparing 20% to 20%, a completely even distribution is expressed as 1; 20% to 40% changes this value to 0.5. Kuznets curve diagrams show an inverted U curve, although variables along the axes are often mixed and matched, with inequality or the Gini coefficient on the Y axis and economic development, time or per-capita incomes on the X axis. [5]