In economics, the Lorenz curve is a graphical representation of the distribution of income or of wealth. It was developed by Max O. Lorenz in 1905 for representing inequality of the wealth distribution.
The curve is a graph showing the proportion of overall income or wealth assumed by the bottom x% of the people, although this is not rigorously true for a finite population (see below). It is often used to represent income distribution, where it shows for the bottom x% of households, what percentage (y%) of the total income they have. The percentage of households is plotted on the x-axis, the percentage of income on the y-axis. It can also be used to show distribution of assets. In such use, many economists consider it to be a measure of social inequality.
The concept is useful in describing inequality among the size of individuals in ecology and in studies of biodiversity, where the cumulative proportion of species is plotted against the cumulative proportion of individuals. It is also useful in business modeling: e.g., in consumer finance, to measure the actual percentage y% of delinquencies attributable to the x% of people with worst risk scores.
Data from 2005.
Points on the Lorenz curve represent statements such as, "the bottom 20% of all households have 10% of the total income."
A perfectly equal income distribution would be one in which every person has the same income. In this case, the bottom N% of society would always have N% of the income. This can be depicted by the straight line y = x; called the "line of perfect equality."
By contrast, a perfectly unequal distribution would be one in which one person has all the income and everyone else has none. In that case, the curve would be at y = 0% for all x < 100%, and y = 100% when x = 100%. This curve is called the "line of perfect inequality."
The Gini coefficient is the ratio of the area between the line of perfect equality and the observed Lorenz curve to the area between the line of perfect equality and the line of perfect inequality.
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Explores normal distribution characteristics, Z-scores, probability in inferential statistics, sample effects, and binomial distribution approximation.
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. While different theories may try to explain how income inequality comes about, income inequality metrics simply provide a system of measurement used to determine the dispersion of incomes. The concept of inequality is distinct from poverty and fairness.
In economics, distribution is the way total output, income, or wealth is distributed among individuals or among the factors of production (such as labour, land, and capital). In general theory and in for example the U.S. National Income and Product Accounts, each unit of output corresponds to a unit of income. One use of national accounts is for classifying factor incomes and measuring their respective shares, as in national Income. But, where focus is on income of persons or households, adjustments to the national accounts or other data sources are frequently used.
In economics, the Gini coefficient (ˈdʒiːni ), also known as the Gini index or Gini ratio, is a measure of statistical dispersion intended to represent the income inequality, the wealth inequality, or the consumption inequality within a nation or a social group. It was developed by Italian statistician and sociologist Corrado Gini. The Gini coefficient measures the inequality among the values of a frequency distribution, such as levels of income.
Lumped magnetic circuit provides possibility for fast transient simulation of magnetic component together with power electronics circuit. The simplified geometry representation however is not able to completely reflect the real field distribution, especial ...
2015
,
This article presents an innovative concept for alternative hybridization, without electrical devices. The concept is studied on a C-Segment vehicle with targeted prices between 27,000 and 34,000 euros. Short term hybrid pneumatic energy storage and a wast ...
Elsevier2015
We study utility indifference pricing of claim streams with intertem- poral consumption and power (CRRA) utilities. We derive explicit for- mulas for the derivatives of the utility indifference price with respect to claims and wealth. The simple structure of ...