Titre : | Assessing inequality |
Auteurs : | L. HAO ; D. Q. NAIMAN |
Type de document : | Livre |
Editeur : | Sage Publications, 2010 |
Collection : | Quantitative Applications in the Social Sciences, num. Vol.166 |
ISBN/ISSN/EAN : | 978-1-4129-2629-4 |
Format : | 149 p. / index |
Langues: | Anglais |
Mots-clés : |
Thésaurus mots-clés MODELE STATISTIQUE ; METHODE ; INEGALITE |
Résumé : |
This monograph 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. |
Domaine : | Hors addiction / No addiction |
Affiliation : | Johns Hopkins University, USA |
Cote : | USUEL 65 |
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