AI Article Synopsis
- The text introduces a new metric called "gintropy," which uses the Gini index density in the Lorenz map to measure income and wealth inequality among countries and regions.
- Gintropy allows for pairwise mapping and ranking, helping to analyze disparities in wealth distribution effectively.
- The concept is further expanded into "f-gintropy," which applies a function to income or wealth values, providing a more nuanced understanding of regional inequalities compared to the standard gintropy measure.
Article Abstract
We consider an entropic distance analog quantity based on the density of the Gini index in the Lorenz map, i.e., gintropy. Such a quantity might be used for pairwise mapping and ranking between various countries and regions based on income and wealth inequality. Its generalization to f-gintropy, using a function of the income or wealth value, distinguishes between regional inequalities more sensitively than the original construction.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947548 | PMC |
| http://dx.doi.org/10.3390/e24030407 | DOI Listing |
Publication Analysis
Top Keywords
entropic distance
8
income wealth
8
f-gintropy entropic
4
distance ranking
4
ranking based
4
based gini
4
gini consider
4
consider entropic
4
distance analog
4
analog quantity
4
Similar Publications
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!