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A new index of banking coverage created from georeferenced data, with an application for Argentina

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  • Fernando Gaviria

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.

Suggested Citation

  • Fernando Gaviria, 2017. "A new index of banking coverage created from georeferenced data, with an application for Argentina," Revista Ecos de Economía, Universidad EAFIT, vol. 21(45), pages 25-40, December.
    • Handle: RePEc:col:000442:016190
    DOI: 10.17230/ecos.2017.45.2
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    References listed on IDEAS

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    More about this item

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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