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The Gini Methodology (Record no. 23140)

000 -LEADER
fixed length control field 04349nam a22005055i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151448.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130607s2013 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781461447207
978-1-4614-4720-7
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276-280
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
264 #1 -
-- New York, NY :
-- Springer New York :
-- Imprint: Springer,
-- 2013.
912 ## -
-- ZDB-2-SMA
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Yitzhaki, Shlomo.
Relator term author.
245 14 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title The Gini Methodology
Medium [electronic resource] :
Remainder of title A Primer on a Statistical Methodology /
Statement of responsibility, etc by Shlomo Yitzhaki, Edna Schechtman.
300 ## - PHYSICAL DESCRIPTION
Extent XVI, 548 p. 43 illus.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Series in Statistics,
International Standard Serial Number 0172-7397 ;
Volume number/sequential designation 272
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- More Than a Dozen Alternative Ways of Spelling Gini -- The Gini equivalents of the covariance, the correlation and the regression coefficient -- Decompositions of the GMD -- The Lorenz curve and the concentration curve -- The extended Gini family of measures -- Gini Simple Regressions -- Multiple Regressions -- Inference on Gini-based parameters -estimation -- Inference on Gini-based parameters -testing -- Inference on Lorenz and on Concentration curves -- Introduction to applications -- Social welfare, relative deprivation and the Gini coefficient -- Policy Analysis.-  Policy Analysis Using the Decomposition of the Gini by non-marginal analysis.- Incorporating poverty in Policy Analysis - the Marginal Analysis case -- Introduction to applications of the GMD and the Lorenz curve in finance -- The mean-Gini portfolio and the pricing of capital assets -- Applications of Gini methodology in regression analysis -- Gini's multiple regressions: two approaches and their interaction -- Mixed OLS, Gini and extended Gini regressions.-  An application in statistics - ANOGI -- Suggestions for further research   .
520 ## - SUMMARY, ETC.
Summary, etc Gini's mean difference (GMD) was first introduced by Corrado Gini in 1912 as an alternative measure of variability. GMD and the parameters which are derived from it (such as the Gini coefficient or the concentration ratio) have been in use in the area of income distribution for almost a century. In practice, the use of GMD as a measure of variability is justified whenever the investigator is not ready to impose, without questioning, the convenient world of normality. This makes the GMD of critical importance in the complex research of statisticians, economists, econometricians, and policy makers. This book focuses on imitating analyses that are based on variance by replacing variance with the GMD and its variants. In this way, the text showcases how almost everything that can be done with the variance as a measure of variability, can be replicated by using Gini. Beyond this, there are marked benefits to utilizing Gini as opposed to other methods. One of the advantages of using Gini methodology is that it provides a unified system that enables the user to learn about various aspects of the underlying distribution. It also provides a systematic method and a unified terminology. Using Gini methodology can reduce the risk of imposing assumptions that are not supported by the data on the model.  With these benefits in mind the text uses the covariance-based approach, though applications to other approaches are mentioned as well.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
Topical term or geographic name as entry element Mathematical statistics.
Topical term or geographic name as entry element Economics
General subdivision Statistics.
Topical term or geographic name as entry element Econometrics.
Topical term or geographic name as entry element Finance.
Topical term or geographic name as entry element Statistics.
Topical term or geographic name as entry element Statistical Theory and Methods.
Topical term or geographic name as entry element Statistics, general.
Topical term or geographic name as entry element Statistics for Business/Economics/Mathematical Finance/Insurance.
Topical term or geographic name as entry element Financial Economics.
Topical term or geographic name as entry element Econometrics.
Topical term or geographic name as entry element Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Schechtman, Edna.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781461447191
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4614-4720-7
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-09AUM Main Library2014-04-09 2014-04-09 E-Book   AUM Main Library519.5
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