Pareto index: Difference between revisions

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Add link to pareto probability density function definition. This shows why the changes from Falw (which I undid in my previous revision) were wrong.
 
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In [[economics]] the '''Pareto index''', named after the Italian economist and sociologist [[Vilfredo Pareto]], is a measure of the breadth of income or wealth distribution.  It is one of the parameters specifying a [[Pareto distribution]] and embodies the [[Pareto principle]].  As applied to income, the Pareto principle is sometimes stated in popular expositions by saying q=20% of the population has p=80% of the income. In fact, Pareto's data on British income taxes in his ''Cours d'économie politique'' indicates that about 20% of the population had about 80% of the income.{{Dubious|date=June 2012}}. For example, if the population is 100 and the total wealth is $100''x''<sub>m</sub>, then together q=20 people have p''x''<sub>m</sub>=$80''x''<sub>m</sub>. Hence, each of these people has x=p''x''<sub>m</sub>/q=$4''x''<sub>m</sub>.
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In [[economics]] the '''Pareto index''', named after the Italian economist and sociologist [[Vilfredo Pareto]], is an approximation of income or wealth distribution.  It is one of the parameters specifying a [[Pareto distribution]] and embodies the [[Pareto principle]].  As applied to income, the Pareto principle is sometimes stated in by saying 20% of the population has 80% of the income. Pareto's data on British income taxes in his ''Cours d'économie politique'' indicates approximately 20% of the population had about 80% of the income.{{Dubious|date=June 2012}}.


One of the simplest characterizations of the Pareto distribution, when used to model the distribution of incomes, says that the proportion of the population whose income exceeds any positive number ''x''&nbsp;>&nbsp;''x''<sub>m</sub> is
One of the simplest characterizations of the Pareto distribution, when used to model the distribution of incomes, says that the proportion of the population whose income exceeds any positive number ''x''&nbsp;>&nbsp;''x''<sub>m</sub> is
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where ''x''<sub>m</sub> is a positive number, the minimum of the support of this [[probability distribution]] (the subscript m stands for ''minimum'').  The Pareto index is the parameter &alpha;. Since a proportion must be between 0 and 1, inclusive, the index &alpha; must be positive, but in order for the total income of the whole population to be finite, α must also be greater than 1.  The larger the Pareto index, the smaller the proportion of very high-income people.
where ''x''<sub>m</sub> is a positive number, the minimum of the support of this [[probability distribution]] (the subscript m stands for ''minimum'').  The Pareto index is the parameter &alpha;. Since a proportion must be between 0 and 1, inclusive, the index &alpha; must be positive, but in order for the total income of the whole population to be finite, α must also be greater than 1.  The larger the Pareto index, the smaller the proportion of very high-income people.


Given a <math>p + q = 1</math> rule (why?), with <math>p > q</math>, the Pareto index is given by:
Given a <math>p + q = 1</math> rule {{Why|date=October 2025}}, with <math>p > q</math>, the Pareto index is given by:
:<math>\alpha = \log_{p/q} 1/q = \log(1/q)/\log(p/q) = \log(q)/\log(q/p).</math>
:<math>\alpha = \log_{p/q} 1/q = \log(1/q)/\log(p/q) = \log(q)/\log(q/p).</math>
If <math>q = 1/n</math>, this simplifies to
If <math>q = 1/n</math>, this simplifies to
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For example, the 80–20 (4:1) rule corresponds to &alpha;&nbsp;=&nbsp;log(5)/log(4)&nbsp;≈&nbsp;1.16, 90–10 (9:1) corresponds to &alpha;&nbsp;=&nbsp;log(10)/log(9)&nbsp;≈&nbsp;1.05, and 99–1 corresponds to &alpha;&nbsp;=&nbsp;log(100)/log(99)&nbsp;≈&nbsp;1.002, whereas the 70–30 rule corresponds to α&nbsp;=&nbsp;log(0.3)/log(0.3/0.7)&nbsp;≈&nbsp;1.42 and 2:1 (67–33) corresponds to &alpha;&nbsp;=&nbsp;log(3)/log(2)&nbsp;≈&nbsp;1.585.
For example, the 80–20 (4:1) rule corresponds to &alpha;&nbsp;=&nbsp;log(5)/log(4)&nbsp;≈&nbsp;1.16, 90–10 (9:1) corresponds to &alpha;&nbsp;=&nbsp;log(10)/log(9)&nbsp;≈&nbsp;1.05, and 99–1 corresponds to &alpha;&nbsp;=&nbsp;log(100)/log(99)&nbsp;≈&nbsp;1.002, whereas the 70–30 rule corresponds to α&nbsp;=&nbsp;log(0.3)/log(0.3/0.7)&nbsp;≈&nbsp;1.42 and 2:1 (67–33) corresponds to &alpha;&nbsp;=&nbsp;log(3)/log(2)&nbsp;≈&nbsp;1.585.


Mathematically, the formula above entails that all incomes are at least the lower bound ''x''<sub>m</sub>, which is positive. At this income the [[Pareto_distribution#Probability_density_function|probability density]] suddenly jumps up from zero and then starts decreasing, which is clearly unrealistic. Economists therefore sometimes state that the Pareto law as stated here applies only to the upper tail of the distribution.
Mathematically, the formula above entails that all incomes are at least the lower bound ''x''<sub>m</sub>, which is positive. At this income the [[Pareto_distribution#Probability_density_function|probability density]] suddenly jumps up from zero and then starts decreasing, which is clearly{{according to whom|date=October 2025}} unrealistic. Economists{{who|date=October 2025}} therefore sometimes{{when|date=October 2025}} state the Pareto law is only true for the upper 20% of the distribution.{{verify credibility|date=September 2025}}


== See also ==
== See also ==
* [[Gini coefficient]]
* [[Gini coefficient]]
* [[List of measures of inequality]]
* [[List of measures of inequality]]
{{no footnotes|date=January 2012}}


==References and external links==
==References and external links==
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* [https://arxiv.org/abs/cond-mat/0202388 "Physics of Personal Income", Wataru Souma]
* [https://arxiv.org/abs/cond-mat/0202388 "Physics of Personal Income", Wataru Souma]
* "Pareto Index Estimation Under Moderate Right Censoring", Jan Beirlant, Armelle Guillou, ''Scandinavian Actuarial Journal'', volume 2 (2001), pages 111–125.
* "Pareto Index Estimation Under Moderate Right Censoring", Jan Beirlant, Armelle Guillou, ''Scandinavian Actuarial Journal'', volume 2 (2001), pages 111–125.
* "Wealth Distribution in an Ancient Egyptian Society", A. Y. Abul-Magd, Physical Review E, volume 66, 2002.
* "Wealth Distribution in an Ancient Egyptian Society", A. Y. Abul-Magd, [[Physical Review E]], volume 66, 2002.
* "Pareto Index Induced from the Scale of Companies", Atushi Ishikawa, ''Physica A'', volume 363, pages 367–376, 2006.
* "Pareto Index Induced from the Scale of Companies", Atushi Ishikawa, ''Physica A'', volume 363, pages 367–376, 2006.
* "Power Law Tails in the Italian Personal Income Distribution", Fabio Clementi, [[Mauro Gallegati]], ''[[Physica A]]'', volume 350, pages 427–438, 2005.
* "[[Power law|Power Law]] Tails in the Italian Personal Income Distribution", Fabio Clementi, [[Mauro Gallegati]], ''[[Physica A]]'', volume 350, pages 427–438, 2005.
* [https://arxiv.org/abs/cond-mat/0108482 Small-World Effects in Wealth Distribution, Wataru Souma, Yoshi Fujiwara, Hideaki Aoyama]
* [https://arxiv.org/abs/cond-mat/0108482 Small-World Effects in Wealth Distribution, Wataru Souma, Yoshi Fujiwara, Hideaki Aoyama]
* "Weak Limiting Behaviour of a Simple Tail Pareto-Index Estimator", J.N. Bacro and M. Brito, ''Journal of Statistical Planning and Inference'', volume 45, number 1, 1995, pages 7–19.
* "Weak Limiting Behaviour of a Simple Tail Pareto-Index Estimator", J.N. Bacro and M. Brito, ''Journal of Statistical Planning and Inference'', volume 45, number 1, 1995, pages 7–19.
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* "A New Illustration of Pareto's Law", Josiah C. Stamp, ''[[Journal of the Royal Statistical Society]]'', volume 77, number 2, pages 200–204, January 1914.
* "A New Illustration of Pareto's Law", Josiah C. Stamp, ''[[Journal of the Royal Statistical Society]]'', volume 77, number 2, pages 200–204, January 1914.
* "The Pareto Law and the Distribution of Income", G. Findlay Shirras, ''The Economic Journal'', volume 45, number 180, pages 663–681, December 1935.
* "The Pareto Law and the Distribution of Income", G. Findlay Shirras, ''The Economic Journal'', volume 45, number 180, pages 663–681, December 1935.
* [http://isi.cbs.nl/glossary/term2412.htm "Pareto index" in various languages], from the International Statistical Institute's glossary of statistical terms.
* [http://isi.cbs.nl/glossary/term2412.htm "Pareto index" in various languages], from the [[International Statistical Institute]]'s glossary of statistical terms.
* "[[Second Thoughts on James Burnham]]", ''[[Polemic (magazine)|Polemic]]'', G. Orwell, May 1946


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Latest revision as of 02:19, 14 October 2025

Template:Multiple issues

In economics the Pareto index, named after the Italian economist and sociologist Vilfredo Pareto, is an approximation of income or wealth distribution. It is one of the parameters specifying a Pareto distribution and embodies the Pareto principle. As applied to income, the Pareto principle is sometimes stated in by saying 20% of the population has 80% of the income. Pareto's data on British income taxes in his Cours d'économie politique indicates approximately 20% of the population had about 80% of the income.Script error: No such module "Unsubst"..

One of the simplest characterizations of the Pareto distribution, when used to model the distribution of incomes, says that the proportion of the population whose income exceeds any positive number x > xm is

q=(xmx)α=(qp)α

where xm is a positive number, the minimum of the support of this probability distribution (the subscript m stands for minimum). The Pareto index is the parameter α. Since a proportion must be between 0 and 1, inclusive, the index α must be positive, but in order for the total income of the whole population to be finite, α must also be greater than 1. The larger the Pareto index, the smaller the proportion of very high-income people.

Given a p+q=1 rule Template:Why, with p>q, the Pareto index is given by:

α=logp/q1/q=log(1/q)/log(p/q)=log(q)/log(q/p).

If q=1/n, this simplifies to

α=logn1(n).

Alternatively, in terms of odds, X:Y

α=logX/Y((X+Y)/Y),

so X:1 yields

α=logX(X+1).

For example, the 80–20 (4:1) rule corresponds to α = log(5)/log(4) ≈ 1.16, 90–10 (9:1) corresponds to α = log(10)/log(9) ≈ 1.05, and 99–1 corresponds to α = log(100)/log(99) ≈ 1.002, whereas the 70–30 rule corresponds to α = log(0.3)/log(0.3/0.7) ≈ 1.42 and 2:1 (67–33) corresponds to α = log(3)/log(2) ≈ 1.585.

Mathematically, the formula above entails that all incomes are at least the lower bound xm, which is positive. At this income the probability density suddenly jumps up from zero and then starts decreasing, which is clearlyTemplate:According to whom unrealistic. EconomistsScript error: No such module "Unsubst". therefore sometimesTemplate:When state the Pareto law is only true for the upper 20% of the distribution.Template:Verify credibility

See also

References and external links

Template:Authority control