Measuring income inequality: a robust semi-parametric approach

DOI10.1016/J.PHYSA.2020.125359OpenAlexW3090741453MaRDI QIDQ2146282

Muhammad Aslam Mohd Safari, Nurulkamal Masseran, Kamarulzaman Ibrahim, Saiful Izzuan Hussain

Publication date: 16 June 2022

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

Full work available at URL: https://doi.org/10.1016/j.physa.2020.125359

zbMATH Keywords

inequalityincome distributionPareto distributionsemi-parametric modelinverse-Pareto distributionsurvey samples

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Uses Software

• plfit

Cites Work

• Income distribution and inequality measurement: the problem of extreme values
• A generalized boxplot for skewed and heavy-tailed distributions
• Univariate and multivariate Pareto models
• The Pareto law of incomes - an explanation and an extension
• Growth and fluctuations of personal income
• Gini estimation under infinite variance
• A robust semi-parametric approach for measuring income inequality in Malaysia
• A robust and efficient estimator for the tail index of inverse Pareto distribution
• Power-Law Distributions in Empirical Data
• The Class of Additively Decomposable Inequality Measures
• Statistical Size Distributions in Economics and Actuarial Sciences
• Pareto Tail Index Estimation Revisited
• On the identification of extreme outliers and dragon-kings mechanisms in the upper tail of income distribution
• Welfare Rankings in the Presence of Contaminated Data
• Exponential and power-law probability distributions of wealth and income in the United Kingdom and the United States

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