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Statistical Theories of Income and Wealth Distribution

Authors: Chakrabarti, Anindya S.; Chakrabarti, Bikas K.;

Statistical Theories of Income and Wealth Distribution

Abstract

AbstractThe distributions of income and wealth in countries across the world are found to possess some robust and stable features independent of the specific economic, social and political conditions of the countries. We discuss a few physics-inspired multi-agent dynamic models along with their microeconomic counterparts, that can produce the statistical features of the distributions observed in reality. A number of exact analytical methods and solutions are also provided.

Keywords

Wealth and Their Distributions, inequality, Personal Income, Social Sciences, H, Personal Income,Wealth and Their Distributions,Exchange and Production Economies, D51, Income distribution,wealth distribution,inequality,exchange economies,money, wealth distribution, C31, Tauschwirtschaft, HB71-74, ddc:330, Statistische Verteilung, Agent-based Model, exchange economies, Economics as a science, Exchange and Production Economies, Einkommensverteilung, Vermögensverteilung, money, Income distribution, C00, Theorie, jel: jel:C00, jel: jel:D51, jel: jel:C31

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    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Average
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