Main Article Content

Fernando Garcia

Abstract

This paper constructs a Banking Index (BI) of geographic coverage and applies it to the central area of Argentina. The Index is created using georeferenced data from the first two principal components obtained applying MULTISPATI methodology, which facilitates visualization of the spatial distribution of coverage. Although the relative weights are similar for the partial indicators used to measure the first component of the Banking Index, some differences are detected in the weights for the second component. The BI reveals a heterogeneous level of banking coverage within the central area of Argentina.

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Abstract

This paper constructs a Banking Index (BI) of geographic coverage and applies it to the central area of Argentina. The Index is created using georeferenced data from the first two principal components obtained applying MULTISPATI methodology, which facilitates visualization of the spatial distribution of coverage. Although the relative weights are similar for the partial indicators used to measure the first component of the Banking Index, some differences are detected in the weights for the second component. The BI reveals a heterogeneous level of banking coverage within the central area of Argentina.

Article Details

Keywords
Índice de bancarización, Datos georreferenciados, MULTISPATI, Análisis de las Componentes Principales
How to Cite
GARCIA, Fernando. A new index of banking coverage created from georeferenced data, with an application for Argentina. Ecos de Economía: A Latin American Journal of Applied Economics, [S.l.], v. 21, n. 45, dec. 2017. ISSN 2462-8107. Available at: <http://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/indice-bancarizacion-georeferenciado-argentina>. Date accessed: 19 jan. 2018. doi: https://doi.org/10.17230/ecos.2017.45.2.
Section
Articles