Jump to ContentJump to Main Navigation
Arguments for a Better World: Essays in Honor of Amartya SenVolume I: Ethics, Welfare, and Measurement$
Users without a subscription are not able to see the full content.

Kaushik Basu and Ravi Kanbur

Print publication date: 2008

Print ISBN-13: 9780199239115

Published to Oxford Scholarship Online: May 2009

DOI: 10.1093/acprof:oso/9780199239115.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 13 November 2019

Ungrouping Income Distributions

Ungrouping Income Distributions

SYNTHESIZING SAMPLES FOR INEQUALITY AND POVERTY ANALYSIS

Chapter:
(p.414) Chapter 22 Ungrouping Income Distributions
Source:
Arguments for a Better World: Essays in Honor of Amartya Sen
Author(s):

Anthony Shorrocks

Guanghua Wan (Contributor Webpage)

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780199239115.003.0023

This chapter describes a new method of facilitating inequality and poverty analysis of grouped distributional data by allowing individual income observations to be reconstructed from any feasible grouping pattern. In contrast to earlier methods, the chapter's procedure ensures that the characteristics of the synthetic sample exactly match the reported values. The performance of the algorithm is evaluated first by using household survey records to compare true income observations with their synthetic counterparts, then by comparing the true and generated values of the Gini coefficient and other inequality indices. The results indicate that the new technique is capable of reproducing individual data from grouped statistics with a high degree of accuracy.

Keywords:   grouped data, income distribution, inequality, poverty, Gini coefficient, grouped statistics

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .