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Cumulative inequality theory or cumulative disadvantage theory is the systematic explanation of how inequalities develop. The theory was initially developed by Merton in 1988, [ 1 ] who studied the sciences and prestige.
Statistical discrimination is a theorized behavior in which group inequality arises when economic agents (consumers, workers, employers, etc.) have imperfect information about individuals they interact with. [1] According to this theory, inequality may exist and persist between demographic groups even when economic agents are rational.
The ancient Greek philosophers Plato and Aristotle debated economic equality. Painting by Raffaello Sanzio (1509). According to professor of politics Ed Rooksby, the concept of equality of outcome is an important one in disputes between different political positions, since equality has overall been seen as positive and an important concept that is "deeply embedded in the fabric of modern ...
The relative index of inequality (RII) is a regression-based index which summarizes the magnitude of socio-economic status (SES) as a source of inequalities in health. RII is useful because it takes into account the size of the population and the relative disadvantage experienced by different groups. [ 1 ]
These inequalities are significant for their nearly complete lack of conditional assumptions. For example, for any random variable with finite expectation, the Chebyshev inequality implies that there is at least a 75% probability of an outcome being within two standard deviations of the expected value. However, in special cases the Markov and ...
The Theil index is a statistic primarily used to measure economic inequality [1] and other economic phenomena, though it has also been used to measure racial segregation. [2] [3] The Theil index T T is the same as redundancy in information theory which is the maximum possible entropy of the data minus the observed entropy.
Global share of wealth by wealth group, Credit Suisse, 2021 Share of income of the top 1% for selected developed countries, 1975 to 2015. 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 ...
The bounds these inequalities give on a finite sample are less tight than those the Chebyshev inequality gives for a distribution. To illustrate this let the sample size N = 100 and let k = 3. Chebyshev's inequality states that at most approximately 11.11% of the distribution will lie at least three standard deviations away from the mean.