2005
DOI: 10.1209/epl/i2004-10330-3
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Temporal evolution of the “thermal” and “superthermal” income classes in the USA during 1983–2001

Abstract: Abstract. -Personal income distribution in the USA has a well-defined two-class structure. The majority of population (97-99%) belongs to the lower class characterized by the exponential Boltzmann-Gibbs ("thermal") distribution, whereas the upper class (1-3% of population) has a Pareto power-law ("superthermal") distribution. By analyzing income data for 1983-2001, we show that the "thermal" part is stationary in time, save for a gradual increase of the effective temperature, whereas the "superthermal" tail sw… Show more

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Cited by 170 publications
(204 citation statements)
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“…Usually the income distributions are taken as inequality indicators [94] whereas here insight to the evolving distribution of wealth is drawn from the law of energy dispersal. Earlier these skewed distributions and their cumulative curves viewed as power-laws have been obtained using statistical physics concepts [95], in particular self-similarity in scaling [28], or using Tsallis' entropy [96], but not explicitly from the 2 nd law, although maximum principles have been understood as being in control [87]. When an economy is growing, the distribution shifts higher in energy because during development new more productive mechanisms are adopted and infrastructure is built, while less productive processes and outdated traditions are abandoned (Figure 2).…”
Section: Economic Stability Fluctuations and Oscillationsmentioning
confidence: 99%
“…Usually the income distributions are taken as inequality indicators [94] whereas here insight to the evolving distribution of wealth is drawn from the law of energy dispersal. Earlier these skewed distributions and their cumulative curves viewed as power-laws have been obtained using statistical physics concepts [95], in particular self-similarity in scaling [28], or using Tsallis' entropy [96], but not explicitly from the 2 nd law, although maximum principles have been understood as being in control [87]. When an economy is growing, the distribution shifts higher in energy because during development new more productive mechanisms are adopted and infrastructure is built, while less productive processes and outdated traditions are abandoned (Figure 2).…”
Section: Economic Stability Fluctuations and Oscillationsmentioning
confidence: 99%
“…Similarly to the case of firms, most models of the power law distribution for personal income and wealth are based on random growth processes [99][100][101]. However, a role for someway predefined economic roles, especially within firms, is likely.…”
Section: Random Growthmentioning
confidence: 99%
“…The demand side is characterized in this model by an ensemble of agents who are interested in purchasing the consumer durable, while the total number of agents is denoted as the market potential M. The personal income distribution can be divided into a lower class contribution (lognormal/exponential distribution) and an upper class (Pareto distribution) [8][9][10]. We assume that, in difference to luxurious goods, the upper class can always afford the good, indicated by the contribution M U .…”
Section: The Modelmentioning
confidence: 99%