Economics at your fingertips  

On the spatially explicit Gini coefficient: the case study of Chile—a high-income developing country

Ricardo Crespo () and Ignacio Hernandez ()
Additional contact information
Ricardo Crespo: Universidad de Santiago de Chile
Ignacio Hernandez: Universidad de Santiago de Chile

Letters in Spatial and Resource Sciences, 2020, vol. 13, issue 1, No 3, 37-47

Abstract: Abstract This study suggests the use of a geographically-varying Gini coefficient to better understand local dynamics between income inequality and socioeconomic attributes. We estimate local Gini coefficients by disaggregating the traditional Lorenz curve approach at small census areas using spatial microsimulation techniques. As our case study, we chose the city of Santiago, Chile. Despite being ranked as a high-income country by the World Bank, Chile is the most unequal OECD country and the seventh worst in the world. Results reveal interesting spatial patterns that relate income inequality to income and educational level. For instance, the most unequal areas of the city correspond, perhaps against all odds, to the most well-off neighbourhoods having, in addition, the highest educational level. This result suggests that from a certain level of high income in areas with high-income inequality, the spatial cohesion of neighbourhoods may be mainly caused by the educational level of households. Results also reveal that the least unequal areas are mostly observed across neighbourhoods with low educational levels and low per capita incomes.

Keywords: Income inequality; Gini index; Spatial microsimulation; Small area (search for similar items in EconPapers)
JEL-codes: C15 C83 J30 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:

Ordering information: This journal article can be ordered from

DOI: 10.1007/s12076-020-00243-4

Access Statistics for this article

Letters in Spatial and Resource Sciences is currently edited by Henk Folmer and Amitrajeet A. Batabyal

More articles in Letters in Spatial and Resource Sciences from Springer
Bibliographic data for series maintained by Sonal Shukla ().

Page updated 2020-08-29
Handle: RePEc:spr:lsprsc:v:13:y:2020:i:1:d:10.1007_s12076-020-00243-4