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Assessing Inequality
About this book
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.
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Information
Table of contents
- Cover Page
- Title
- Copyright
- Brief Contents
- Detailed Contents
- About the Authors
- Series Editor’s Introduction
- Acknowledgments
- 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
- Index
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