Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/170722
Authors: 
Almanza Ramírez, Camilo
Mora, Jhon James
Cendales, Andrés
Year of Publication: 
2017
Series/Report no.: 
Economics Discussion Papers 2017-90
Abstract: 
This study investigates the sources of bank efficiency in Colombia over the period 2000-2011. To perform this research, the authors propose a score of bank efficiency using the directional distance function, which was estimated using data envelopment analysis. Additionally, they use an ordered probit panel regression to explore the effects of some market-related and bank-specific factors on efficiency. The authors' results show that the non-inclusion of non-performing loans (NPLs) leads to higher bank inefficiency indicators, which are significantly different from those obtained when NPLs are included. Further, the authors find that economic growth, capital risk, foreign and national banks, and account liquidity risk explain, in part, the efficiency of Colombian banks.
Subjects: 
data envelopment analysis
Colombia
directional distance function
nonperforming loans
ordered probit panel models
JEL: 
D22
G21
Creative Commons License: 
http://creativecommons.org/licenses/by/4.0/
Document Type: 
Working Paper

Files in This Item:
File
Size
633.68 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.