EconPapers    
Economics at your fingertips  
 

Multidimensional Economic Dispersion Index and Application

Yifan Xia, Ling Zhang and Iris L. Li

Journal of Business & Economic Statistics, 2021, vol. 39, issue 3, 729-740

Abstract: The Gini index is widely used in economics as a measure of inequality with respect to income or wealth. However, it is not applicable when we consider evaluating the inequality level using more than one social resources. To comprehensively evaluate the social inequality level, we propose a multidimensional economic dispersion index (MEDI) based on the Lorenz hyper-surface determined by the distributions of multiple social resources. The MEDI is a natural extension of the Gini index and is equivalent to the Gini index in the presence of only one resource. We propose an estimator for the MEDI with good statistical properties and develop an algorithm to calculate the estimate. We further apply the MEDI for an empirical analysis to evaluate the social inequality level of Chinese provincial capitals. The results reveal some interesting phenomena of Chinese social inequalities and also demonstrate how the MEDI captures more information in complex economic situations than the classical Gini index.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://hdl.handle.net/10.1080/07350015.2020.1730185 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:jnlbes:v:39:y:2021:i:3:p:729-740

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UBES20

DOI: 10.1080/07350015.2020.1730185

Access Statistics for this article

Journal of Business & Economic Statistics is currently edited by Eric Sampson, Rong Chen and Shakeeb Khan

More articles in Journal of Business & Economic Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:jnlbes:v:39:y:2021:i:3:p:729-740