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Relative distribution methods in the social sciences

Author: Mark Stephen Handcock; Martina Morris
Publisher: New York : Springer, ©1999.
Series: Statistics for social science and public policy.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
In social science research, differences among groups or changes over time are a common focus of study. While means and variances are typically the basis for statistical methods used in this research, the underlying social theory often implies properties of distributions that are not well captured by these summary measures. Examples include the current controversies regarding growing inequality in earnings, racial  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Handcock, Mark Stephen, 1961-
Relative distribution methods in the social sciences.
New York : Springer, ©1999
(DLC) 99014664
(OCoLC)41002670
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mark Stephen Handcock; Martina Morris
ISBN: 0387226583 9780387226583 0585499373 9780585499376
OCLC Number: 54848643
Description: 1 online resource (xiii, 265 pages) : illustrations.
Contents: Cover --
Preface --
Table of Contents --
1. Introduction and Motivation --
2. The Relative Distribution --
3. Location, Scale and Shape Decomposition --
4. Application: White Men's Earnings 1967-1997 --
5. Summary Measures --
6. Application: Earnings by Race and Sex: 1967-1997 --
7. Adjustment for Covariates --
8. Application: Comparing Wage Mobility in Two Eras --
9. Inference for the Relative Distribution --
10. Inference for Summary Measures --
11. The Relative Distribution for Discrete Data --
12. Application: Changes in the Distribution of Hours Worked --
13. Quantile Regression --
Appendices --
References.
Series Title: Statistics for social science and public policy.
Responsibility: Mark S. Handcock, Martina Morris.
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Abstract:

A monograph that presents methods for full comparative distributional analysis based on the relative distribution. It is suitable for data analysts and those interested in measurement.  Read more...

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From the reviews:SOCIOLOGICAL METHODS & RESEARCH"This book is a good example of how advances in statistics and increased computing power can enable us to be more careful researchers by exploring and Read more...

 
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