2020
DOI: 10.1002/ijfe.2097
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Bank branch performance and cost efficiency: A stochastic frontier panel data approach

Abstract: This paper analyses the relationship between performance assessment methods used by banks to evaluate their branches and the corresponding time-varying cost efficiency. To do this, we employ a panel data framework and consider bank branches' latent heterogeneity, which might arise from unobserved non-systematic management problems. Our analysis is based on monthly data obtained from the branches of a large commercial bank operating in Spain during the period 2013-2014. The results indicate that there is unobse… Show more

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Cited by 6 publications
(2 citation statements)
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“…These early works established the foundation for using SFA as a tool to estimate efficiency in the manufacturing sector. A number of other studies that followed suit in utilizing SFA with panel data include key contributions of Battese and Coelli (1988); Kumbhakar (1990); Kirjavainen (2012); Lai and Kumbhakar (2018); Tsukamoto (2019); Cabrera-Suárez and Pérez-Rodríguez (2021) and Subal C Kumbhakar and Tsionas (2021). These studies have further expanded the application of SFA in the estimation of efficiency in the manufacturing sector.…”
Section: Literature Reviewmentioning
confidence: 99%
“…These early works established the foundation for using SFA as a tool to estimate efficiency in the manufacturing sector. A number of other studies that followed suit in utilizing SFA with panel data include key contributions of Battese and Coelli (1988); Kumbhakar (1990); Kirjavainen (2012); Lai and Kumbhakar (2018); Tsukamoto (2019); Cabrera-Suárez and Pérez-Rodríguez (2021) and Subal C Kumbhakar and Tsionas (2021). These studies have further expanded the application of SFA in the estimation of efficiency in the manufacturing sector.…”
Section: Literature Reviewmentioning
confidence: 99%
“…To measure banks' efficiency, we follow the approach suggested by Kumbhakar et al (2014). They propose to split the error term into four components: bank fixed effects, time‐varying inefficiency, time‐invariant inefficiency, and a stochastic component capturing random shocks (Cabrera‐Suárez & Pérez‐Rodríguez, 2020). 2 This model implies that banks, over time, can remove those factors that cause short‐term inefficiency, while other sources are assumed to be naturally persistent.…”
Section: Empirical Designmentioning
confidence: 99%