SOAS Research Online

A Free Database of the Latest Research by SOAS Academics and PhD Students

[skip to content]

Jorda, Vanesa and Niño-Zarazúa, Miguel (2019) 'Global inequality: How large is the effect of top incomes?' World Development, 123 (104593).

[img]
Preview
Text - Published Version
Available under License Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND 4.0).

Download (1MB) | Preview

Abstract

Despite the growing interest in global inequality, assessing inequality trends is a major challenge because individual data on income or consumption is not often available. Nevertheless, the periodic release of certain summary statistics of the income distribution has become increasingly common. Hence, grouped data in form of income shares have been conventionally used to construct inequality trends based on lower bound approximations of inequality measures. This approach introduces two potential sources of measurement error: first, these estimates are constructed under the assumption of equality of incomes within income shares; second, the highest income earners are not included in the household surveys from which grouped data is obtained. In this paper, we propose to deploy a flexible parametric model, which addresses these two issues in order to obtain a reliable representation of the income distribution and accurate estimates of inequality measures. This methodology is used to estimate the recent evolution of global interpersonal inequality from 1990 to 2015 and to examine the effect of survey under-coverage of top incomes on the level and direction of global inequality. Overall, we find that item non-response at the top of the distribution substantially biases global inequality estimates, but, more importantly, it might also affect the direction of the trends.

Item Type: Journal Article
Keywords: InequalityTop incomesIncome distributionTruncated Lorenz curves
SOAS Departments & Centres: Departments and Subunits > Department of Economics
ISSN: 0305750X
DOI (Digital Object Identifier): https://doi.org/10.1016/j.worlddev.2019.06.017
Date Deposited: 22 Jan 2022 14:36
URI: https://eprints.soas.ac.uk/id/eprint/35878
Related URLs: https://doi.org ... IDER/2016/137-6 (Publisher URL)
Funders: Other

Altmetric Data

Statistics

Download activity - last 12 monthsShow export options
Downloads since deposit
6 month trend
17Downloads
6 month trend
25Hits
Accesses by country - last 12 monthsShow export options
Accesses by referrer - last 12 monthsShow export options

Repository staff only

Edit Item Edit Item