Abstract
We present a non-conventional approach for studying the distribution of wealth in society. We analyze data from the 1996 Forbes 400 list of the richest people in the US. Our results confirm that wealth is distributed according to a power law. The measured exponent of the power-law is 1.36. As theoretically predicted, this value is in close agreement with the exponent of the Lévy distribution of stock market fluctuations.
| Original language | English |
|---|---|
| Pages (from-to) | 90-94 |
| Number of pages | 5 |
| Journal | Physica A: Statistical Mechanics and its Applications |
| Volume | 242 |
| Issue number | 1-2 |
| DOIs | |
| State | Published - 1 Aug 1997 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
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