書誌事項

Assessing inequality

Lingxin Hao, Daniel Q. Naiman

(Sage publications series, . Quantitative applications in the social sciences ; no. 07-166)

Sage, c2010

  • : pbk

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注記

Includes bibliographical references (p. 143-145) and index

内容説明・目次

内容説明

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.

目次

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

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