Show simple item record

dc.contributor.editorBanco Central del Paraguay
dc.creatorTondo, Christian
dc.date.accessioned2024-12-12T18:12:14Z
dc.date.available2024-12-12T18:12:14Z
dc.date.created2024-12-09
dc.date.issued2024-12-12
dc.identifier.citationCapera, L. and González, A. 2011. Un índice de bancarización para Colombia. Reporte de Estabilidad Financiera, Banco de la República.
dc.identifier.citationHu, H., Jadoul, Q. and Reich, A. 2021. How banks can build their future workforce - today. Insights on Financial Services, McKinsey & Company.
dc.identifier.citationJolliffe, I. 1990. Principal component analysis: a beginner's guide - I. Introduction and application. Weather, 45, 10, p. 375-3820.
dc.identifier.citationMorales, L. and Yáñez, A. 2006. “La bancarización en Chile - Concepto y medición”. Serie de Documentos de Trabajo, Comisión para el Mercado Financiero.
dc.identifier.citationTondo, C. 2018, Building the bridge between mobile accounts and savings accounts. Policy Memoranda 2018, Leadership Program for Financial Inclusion, Fletcher School.
dc.identifier.citationVieira, W., Ferreira, J., Roque, M. and Da Rocha, B. 2022. Using principal component analysis to build socioeconomic status indices. International Journal of Statistics and Applications, 12, 3, p. 77-82.
dc.identifier.urihttps://repositorio.bcp.gov.py/handle/123456789/706
dc.description.abstractThe Covid-19 pandemic afected the relation between financial institutions and their clients highlighting the need for bancarization indicators to interpret specific events. This study presents the construction of aggregate measures that facilitate the analysis and monitoring of bancarization. The synthetic indicators comprise variables in four dimensions of intermediation services provided by banks and financial companies in Paraguay. These are financial depth, infrastructure, coverage, and electronic transactions. All variables are considered in relation to adult population. The methodology employed is Principal Component Analysis (PCA). The results suggest that the methodology is sensitive, and it allows measuring and tracking progress of bancarization over time.
dc.format.extent26
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherBCP
dc.relation.ispartofDocumentos de Trabajo
dc.relation.ispartofseriesDocumento de Trabajo
dc.relation.isversionofDocumento de Trabajo; N° 28
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.titleConstructing synthetic indicators for bancarization in Paraguay using PCA
dc.typeWorking Paper
dc.subject.jelG21
dc.subject.jelO16
dc.subject.jelP43
dc.subject.keywordBANCARIZATION
dc.subject.keywordPRINCIPAL COMPONENT ANALYSIS
dc.subject.keywordFINANCIAL SERVICES
dc.rights.accessRightsOpen Access
dc.type.spaDocumento de Trabajo
dc.type.hasversionPublished Version
dc.rights.ccCC0 1.0 Universal
dc.rights.spaAcceso abierto
dc.subject.lembBancarización


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

http://creativecommons.org/publicdomain/zero/1.0/This work is licensed under a Creative Commons Reconocimiento-NoComercial 4.0.This document has been deposited by the author (s) under the following certificate of deposit