Assessing Inequality - Daniel Q. Naiman,Lingxin Hao
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This text reviews a set of widely used summary inequality measures, and the lesser known relative distribution method provides the basic rationale behind each 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 p ... Full description
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Description
This text reviews a set of widely used summary inequality measures, and the lesser known relative distribution method provides the basic rationale behind each 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 behavioural sciences, as well as individual researchers.
More Information
| Author | Daniel Q. Naiman, Lingxin Hao |
|---|---|
| Publisher | Sage Publications, Inc |
| Release year | 2010 |
| Cover type | Softcover |
| EAN | 9781412926294 |