Income inequality decomposition using a finite mixture of log-normal distributions: a Bayesian approach

DOI10.1016/j.csda.2014.10.009zbMath1466.62151OpenAlexW2057272996MaRDI QIDQ1659172

Abdoul Aziz Junior Ndoye, Michel Lubrano

Publication date: 15 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2014.10.009

zbMATH Keywords

income distributioninequality decompositionGibbs samplingmixture modelslog-normal distributionlabel switching

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Computational methods for problems pertaining to statistics (62-08) Bayesian inference (62F15)

Related Items

A revisit to testing the equality of means for several lognormal distributions, Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership, Numerical characteristics and parameter estimation of finite mixed generalized normal distribution

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
• Asymptotic and bootstrap inference for inequality and poverty measures
• Reliable inference for the Gini index
• Bayesian thinking, modeling and computation.
• Estimation of the income distribution and detection of subpopulations: an explanatory model
• Estimating the dimension of a model
• Bayesian analysis of mixture models with an unknown number of components\,--\,an alternative to reversible jump methods.
• Bootstrap inference for inequality, mobility and poverty measurement
• Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
• Finite mixture and Markov switching models.
• Marginal Likelihood from the Gibbs Output
• The Double Pareto-Lognormal Distribution—A New Parametric Model for Size Distributions
• Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques*
• Some Generalized Functions for the Size Distribution of Income
• The Nonexistence of Certain Statistical Procedures in Nonparametric Problems
• Decomposable Income Inequality Measures
• The Class of Additively Decomposable Inequality Measures
• Dealing With Label Switching in Mixture Models
• Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality
• Computational and Inferential Difficulties with Mixture Posterior Distributions
• A Brief History of Generative Models for Power Law and Lognormal Distributions
• Bayesian Measures of Model Complexity and Fit
• An introduction to hypergeometric functions for economists
• Markov chain Monte Carlo Estimation of Classical and Dynamic Switching and Mixture Models
• Bayes Factors
• Estimating Income Distributions Using a Mixture of Gamma Densities
• Deviance information criteria for missing data models
• Bayesian inference on GARCH models using the Gibbs sampler