Do wealth distributions follow power laws? Evidence from "rich lists"
arXiv:1304.0212 · doi:10.1016/j.physa.2014.03.052
Abstract
We use data on wealth of the richest persons taken from the "rich lists" provided by business magazines like Forbes to verify if upper tails of wealth distributions follow, as often claimed, a power-law behaviour. The data sets used cover the world's richest persons over 1996-2012, the richest Americans over 1988-2012, the richest Chinese over 2006-2012 and the richest Russians over 2004-2011. Using a recently introduced comprehensive empirical methodology for detecting power laws, which allows for testing goodness of fit as well as for comparing the power-law model with rival distributions, we find that a power-law model is consistent with data only in 35% of the analysed data sets. Moreover, even if wealth data are consistent with the power-law model, usually they are also consistent with some rivals like the log-normal or stretched exponential distributions.
17 pages, 6 figures, 1 table, 1 appendix
References in corpus (14)
- Power-law distributions in empirical data
- Problems with Fitting to the Power-Law Distribution
- Exponential and power-law probability distributions of wealth and income in the United Kingdom and the United States
- Colloquium: Statistical mechanics of money, wealth, and income
- Statistical mechanics of money: How saving propensity affects its distribution
- Power Law Tails in the Italian Personal Income Distribution
- A statistical model with a standard Gamma distribution
- Temporal evolution of the "thermal" and "superthermal" income classes in the USA during 1983-2001
- Evidence for Power-law tail of the Wealth Distribution in India
- A study of the personal income distribution in Australia
- Wealth distribution in an ancient Egyptian society
- The Power-law Tail Exponent of Income Distributions
- A family-network model for wealth distribution in societies
- Weighted Kolmogorov-Smirnov test: Accounting for the tails
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