Assessing InequalityProviding basic foundations for measuring inequality This monograpg reviews a set of widely used summary inequality measures, and the lesser known relative distribution method provides the basic rationale behind each measure and discusses their interconnections. It also introduces model-based decomposition of inequality over time using quantile regression. This approach enables researchers to estimate two different contributions to changes in inequality between two time points. Key Features
This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as individual researchers. |
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additive Analysis applied approach Atkinson bootstrap bottom calculate Chapter comparison component composition conditional confidence interval contribution corresponding counterfactual covariates decomposable decomposition defined density describe discussed entropy equal estimate example express Figure Gini coefficient given greater half households income and wealth income distribution income inequality increase indicates individuals inequality measures introduced less location shift Lorenz curve lower marginal mean median method Models negative net worth normal Note observed obtained Order original overall population positive principle probability Program properties proportion quantile function random range ratio reference Regression relative distribution relative polarization sample scale shift sensitive shape share shows SIPP skewness social standard statistics summary inequality measures survey Table Theil tion transfer trend upper variable variance weights white income worth zero