This monograph presents a general framework for comparative
distributional analysis. It is written for empirical social
scientists and statisticians interested in measurement. Differences
among groups or changes in the distribution of a variable over time
are a common focus of study in the social sciences. Traditional
parametric models restrict such analyses to conditional means and
variances, leaving much of the distributional information untapped.
The methods presented in this book enable researchers to move beyond
means-based comparisons to conduct detailed analyses of
distributional difference. The framework is based on the relative
distribution, a simple transformation of the data that is also a
complete nonparametric summary of the information required for
scale-invariant distributional comparison. The relative distribution
provides a graphical display that simplifies exploratory data
analysis, a statistically valid basis for the development of
hypothesis-driven summary measures, and location, shape, and
covariate decompositions that identify the sources of distributional
changes within and between groups. The book can serve as a
supplementary text for a course on distributional methods or as a
stand-alone text for an advanced methods course. The presentation
alternates chapters on theory and methodological development with
chapters providing an in-depth practical application.
Mark S. Handcock
is Professor of Statistics and Sociology
at the University of Washington.
Martina Morris
is the Blumstein-Jordan Professor of Sociology and Statistics at the
University of Washington.
Contents: Introduction and Motivation.- The Relative Distribution.- Location, Scale and Shape Decomposition.- Application: White Men's Earnings 1967-1997.- Summary Measures.- Application: Earnings by Race and Sex: 1967-1997.- Adjustment for Covariates.- Application: Comparing Wage Mobility in Two Eras.- Inference for the Relative Distribution.- Inference for Summary Measures.- The Relative Distribution for Discrete Data.- Application: Changes in the Distribution of Hours Worked.- Quantile Regression.- Index.
August 1999. 265 pp. 43 figs. Hardcover $59.95 ISBN 0-387-98778-9
Statistics, Social Science, Economics
For researchers, grad students
Level: Reference
Recommended
for Bookstores
Appears in the Springer-Verlag Bookstore Catalogs`
Copyright ©1999 Springer-Verlag New York, Inc. All rights reserved.