Earnings distributions of scalable vs. non-scalable occupations

DOI10.1016/J.PHYSA.2020.125192OpenAlexW3083220658MaRDI QIDQ2142318

Raul Matsushita, Adriano Maia, Sergio Da Silva

Publication date: 27 May 2022

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2020.125192

zbMATH Keywords

income distributionpower lawsPareto distributionearnings distributiongeneralized Pareto curvescalable occupations

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Cites Work

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• Lévy flight approximations for scaled transformations of random walks
• On the super-additivity and estimation biases of quantile contributions
• Gini estimation under infinite variance
• The Distribution of Wealth and Fiscal Policy in Economies With Finitely Lived Agents
• Power-Law Distributions in Empirical Data
• The Dynamics of Inequality
• Rank − 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents
• The Pareto-Levy Law and the Distribution of Income
• On the Gibrat Distribution
• Exponential and power-law probability distributions of wealth and income in the United Kingdom and the United States

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