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Measuring regional inequality : to weight or not to weight? / Gluschenko, Konstantin.

в: Spatial Economic Analysis, Том 13, № 1, 02.01.2018, стр. 36-59.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Gluschenko, K 2018, 'Measuring regional inequality: to weight or not to weight?', Spatial Economic Analysis, Том. 13, № 1, стр. 36-59. https://doi.org/10.1080/17421772.2017.1343491

APA

Gluschenko, K. (2018). Measuring regional inequality: to weight or not to weight? Spatial Economic Analysis, 13(1), 36-59. https://doi.org/10.1080/17421772.2017.1343491

Vancouver

Gluschenko K. Measuring regional inequality: to weight or not to weight? Spatial Economic Analysis. 2018 янв. 2;13(1):36-59. doi: 10.1080/17421772.2017.1343491

Author

Gluschenko, Konstantin. / Measuring regional inequality : to weight or not to weight?. в: Spatial Economic Analysis. 2018 ; Том 13, № 1. стр. 36-59.

BibTeX

@article{1bbfc571e4f74b638b8efb19e3366cf6,
title = "Measuring regional inequality: to weight or not to weight?",
abstract = "Measuring regional inequality: to weight or not to weight? Spatial Economic Analysis. When estimating regional inequality, many economists use inequality indices weighted by regions{\textquoteright} proportion of the national population. Although this approach is widespread, its adequacy has not received attention in the regional science literature. This paper proves that such an approach is conceptually inconsistent, yielding an estimate of interpersonal inequality among the whole population of the country rather than an estimate of regional inequality. Nevertheless, as a measure of interpersonal inequality, such an estimate is very rough (even misleading) and does not always have an intuitive interpretation. Moreover, population-weighted inequality indices do not meet the requirements for an adequate measure of inequality.",
keywords = "inequality axioms, inequality index, weighting by population, Williamson coefficient of variation",
author = "Konstantin Gluschenko",
year = "2018",
month = jan,
day = "2",
doi = "10.1080/17421772.2017.1343491",
language = "English",
volume = "13",
pages = "36--59",
journal = "Spatial Economic Analysis",
issn = "1742-1772",
publisher = "Routledge, Taylor & Francis Group",
number = "1",

}

RIS

TY - JOUR

T1 - Measuring regional inequality

T2 - to weight or not to weight?

AU - Gluschenko, Konstantin

PY - 2018/1/2

Y1 - 2018/1/2

N2 - Measuring regional inequality: to weight or not to weight? Spatial Economic Analysis. When estimating regional inequality, many economists use inequality indices weighted by regions’ proportion of the national population. Although this approach is widespread, its adequacy has not received attention in the regional science literature. This paper proves that such an approach is conceptually inconsistent, yielding an estimate of interpersonal inequality among the whole population of the country rather than an estimate of regional inequality. Nevertheless, as a measure of interpersonal inequality, such an estimate is very rough (even misleading) and does not always have an intuitive interpretation. Moreover, population-weighted inequality indices do not meet the requirements for an adequate measure of inequality.

AB - Measuring regional inequality: to weight or not to weight? Spatial Economic Analysis. When estimating regional inequality, many economists use inequality indices weighted by regions’ proportion of the national population. Although this approach is widespread, its adequacy has not received attention in the regional science literature. This paper proves that such an approach is conceptually inconsistent, yielding an estimate of interpersonal inequality among the whole population of the country rather than an estimate of regional inequality. Nevertheless, as a measure of interpersonal inequality, such an estimate is very rough (even misleading) and does not always have an intuitive interpretation. Moreover, population-weighted inequality indices do not meet the requirements for an adequate measure of inequality.

KW - inequality axioms

KW - inequality index

KW - weighting by population

KW - Williamson coefficient of variation

UR - http://www.scopus.com/inward/record.url?scp=85024474876&partnerID=8YFLogxK

U2 - 10.1080/17421772.2017.1343491

DO - 10.1080/17421772.2017.1343491

M3 - Article

AN - SCOPUS:85024474876

VL - 13

SP - 36

EP - 59

JO - Spatial Economic Analysis

JF - Spatial Economic Analysis

SN - 1742-1772

IS - 1

ER -

ID: 13755862