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Visualization of Simpson's paradox on data resembling real-world variability indicates that risk of misjudgment of true causal relationship can be hard to spot. Simpson's paradox is a phenomenon in probability and statistics in which a trend appears in several groups of data but disappears or reverses when the groups are combined.
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).
Normative interpretation of inequality through inequality indexes means that there is a relationship between an inequality index and a social-evaluation ordering defined on the incomes — incomes (nominal or real) of the members of society. Incomes are typically assigned to individuals rather than households by using an adult equivalence scale.
(A world in which each person received a lifetime of income on their 21st birthday and no income thereafter would have an extremely high Gini, even if everyone received the exact same amount. Real-world incomes also tend to be spiky, although not to that extreme.) [259] Some 11% of households eventually appear in the 1% at some point. [29]
The two world wars were very big factors in keeping inequality low at the time. The rich were being heavily taxed by governments to finance the two conflicts, lowering inequality. After the wars, more socialist movements and trade unions emerged demanding better pay and working conditions, giving workers more power and lowering inequality.
On the other hand, those in the middle class of the developed world (those in the 75th to 90th percentile in 1988, such as the American middle class) experienced little real income gains. The richest 1% contains 60 million persons globally, including 30 million Americans (i.e., the top 12% of Americans by income were in the global top 1% in ...
Spatial inequality refers to the unequal distribution of income and resources across geographical regions. [1] Attributable to local differences in infrastructure, [2] geographical features (presence of mountains, coastlines, particular climates, etc.) and economies of agglomeration, [3] such inequality remains central to public policy discussions regarding economic inequality more broadly.
Unequal access to education in the United States results in unequal outcomes for students. Disparities in academic access among students in the United States are the result of multiple factors including government policies, school choice, family wealth, parenting style, implicit bias towards students' race or ethnicity, and the resources available to students and their schools.