Econometrics and Income Inequality

doi:10.3390/books978-3-03897-367-6

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Econometrics and Income Inequality

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November 2018

322 pages

ISBN978-3-03897-366-9 (Paperback)
ISBN978-3-03897-367-6 (PDF)

https://doi.org/10.3390/books978-3-03897-367-6

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This book is a reprint of the Special Issue Econometrics and Income Inequality that was published in

Business & Economics

Computer Science & Mathematics

Summary

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 income distributions. Possible topics include, but are not limited to, statistical inference for inequality measurement, inequality measurement with complex survey data, parametric or nonparametric modeling of income distributions, statistical decomposition methodology, methods to investigate the determinants of distributional change, causal inference in inequality measurement, and applications of such methods to substantive research questions in different fields of economics.

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Keywords

equivalent income; welfare; inequality; poverty; labor supply; economic inequality; reference measure; personal gamble; inequality index; risk measure; relativity; top incomes; heavy tails; rank size regression; extreme value index; regular variation; middle class; Canada; bootstrap; income distribution; inequality; mixtures; Gini; EU-SILC; decomposition; Esteban and Ray polarization index; income sources; polarization; inequality measurement; Bonferroni index; Gini concentration ratio; decomposition methods; Shapley value; balance of inequality; complex survey data; wage inequality; polarization; international comparison; cohort study; quantile regression; inequality; poverty; pro-poor growth; GMM estimation; parametric bootstrap; generalized method of moments; income distribution; inequality measurement; heavy tail; hybrid MCMC sampler; quantile regression; influence function; return to education; decomposition methods; RIF-regressions; wage inequality; Bayesian inference; pseudo panels; data augmentation; walls; poverty dynamics; top incomes; inequality measures; survey non-response; Pareto distribution; parametric estimation; EU SILC; immigrant wages; wage inequality; cross-border workers; influence function; RIF regression; Luxembourg; n/a