Econometrics and income inequality / / edited by Martin Biewen, Emmanuel Flachaire.

• TeilnehmendeR: Biewen, Martin,; Flachaire, Emmanuel,
• Place / Publishing House: Basel, Switzerland : : MDPI,, 2018.
• Year of Publication: 2018
• Language: English
• Physical Description: 1 online resource (322 pages)

This Special Issue is devoted to the econometric analysis of income inequality and income distributions. Given the recent surge of inequality research, this Special Issue seeks to combine both theoretical and applied contributions which advance the econometric analysis of income inequality and incom...

Table of Contents

• About the Special Issue Editors
• Martin Biewen and Emmanuel Flachaire Econometrics and Income Inequality Reprinted from: Econometrics 2018, 6, 42, doi:10.3390/econometrics6040042
• Francesca Greselin and Ricardas Zitikis From the Classical Gini Index of Income Inequality to a New Zenga-Type Relative Measure of Risk: A Modeller's Perspective Reprinted from: Econometrics 2018, 6, 4, doi:10.3390/econometrics6010004
• Elena Bárcena-Martín and Jacques Silber On the Decomposition of the Esteban and Ray Index by Income Sources Reprinted from: Econometrics 2018, 6, 17, doi:10.3390/econometrics6020017
• Giovanni M. Giorgi and Alessio Guandalini Decomposing the Bonferroni Inequality Index by Subgroups: Shapley Value and Balance of Inequality Reprinted from: Econometrics 2018, 6, 18, doi:10.3390/econometrics6020018
• Martin Ravallion Inequality and Poverty When Effort Matters Reprinted from: Econometrics 2017, 5, 50, doi:10.3390/econometrics5040050
• Sergio P. Firpo, Nicole M. Fortin and Thomas Lemieux Decomposing Wage Distributions Using Recentered Influence FunctionRegressions Reprinted from: Econometrics 2018, 6, 28, doi:10.3390/econometrics6020028
• Russell Davidson Statistical Inference on the Canadian Middle Class Reprinted from: Econometrics 2018, 6, 14, doi:10.3390/econometrics6010014
• Stéphane Guerrier, Samuel Orso and Maria-Pia Victoria-Feser Parametric Inference for Index Functionals Reprinted from: Econometrics 2018, 6, 22, doi:10.3390/econometrics6020022
• El Moctar Laghlal and Abdoul Aziz Junior Ndoye A Hybrid MCMC Sampler for Unconditional Quantile Based onInfluence Function Reprinted from: Econometrics 2018, 6, 24, doi:10.3390/econometrics6020024
• Duangkamon Chotikapanich, William E. Griffiths, Gholamreza Hajargasht, Wasana Karunarathne and D. S. Prasada Rao Using the GB2 Income Distribution Reprinted from: Econometrics 2018, 6, 21, doi:10.3390/econometrics6020021
• Christian Schluter Top Incomes, Heavy Tails, and Rank-Size Regressions Reprinted from: Econometrics 2018, 6, 10, doi:10.3390/econometrics6010010
• Vladimir Hlasny and Paolo Verme Top Incomes and Inequality Measurement: A Comparative Analysis of Correction Methods Using the EU SILC Data Reprinted from: Econometrics 2018, 6, 30, doi:10.3390/econometrics6020030
• Dirk Antonczyk, Thomas DeLeire and Bernd Fitzenberger Polarization and Rising Wage Inequality: Comparing the U.S. and Germany Reprinted from: Econometrics 2018, 6, 20, doi:10.3390/econometrics6020020
• Tareq Sadeq and Michel Lubrano The Wall's Impact in the Occupied West Bank: A Bayesian Approach to Poverty Dynamics Using Repeated Cross-Sections Reprinted from: Econometrics 2018, 6, 29, doi:10.3390/econometrics6020029
• Gordon Anderson, Maria Grazia Pittau, Roberto Zelli and Jasmin Thomas Income Inequality, Cohesiveness and Commonality in the Euro Area: A Semi-Parametric Boundary-Free Analysis Reprinted from: Econometrics 2018, 6, 15, doi:10.3390/econometrics6020015
• Chung Choe and Philippe Van Kerm Foreign Workers and the Wage Distribution: What Does the Influence Function Reveal? Reprinted from: Econometrics 2018, 6, 41, doi:10.3390/econometrics6030041.