基本説明
Establishing a natural link between quantile regression and inequality studies in the social sciences.
Full Description
Providing basic foundations for measuring inequality
from the perspective of distributional properties
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
Clear statistical explanations provide fundamental statistical basis for understanding the new modeling framework
Straightforward empirical examples reinforce statistical knowledge and ready-to-use procedures
Multiple approaches to assessing inequality are introduced by starting with the basic distributional property and providing connections among approaches
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.
Contents
1. Introduction
2. PDFs, CDFs, Quantile Functions, and Lorenz Curves
3. Summary Inequality Measures
4. Choices of Inequality Measures
5. Relative Distribution Methods
6. Inference Issues
7. Analyzing Inequality Trends
8. An Illustrative Application: Inequality in Income and Wealth in the United States, 1991 - 2001
REFERENCES
