Methodological considerations upon Stochastic Frontier Analysis for panel data models: evidence from cost-efficiency ECF model in the Argentine Banking Sector.

In this paper we make a methodological analysis of the Error Components Frontier (ECF) panel data model performance based on Stochastic Frontier Analysis (SFA) method for cost efficiency benchmarking in the presence of small panels and outliers. By means of a set of simulations and a subsequent appl...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Girela, Ignacio G., Vargas, José M.
Formato: Artículo revista
Lenguaje:Español
Publicado: Instituto de Economía y Finanzas. Facultad de Ciencias Económicas. Universidada Nacional de Córdoba. 2021
Materias:
panel data
SFA
banking entities
benchmarking
simulations
Semiparametric and Nonparametric Methods: General
Panel Data Models
Cost
Banks
Economics of Regulation
datos de panel
eficiencia orientada a costos
entidades bancarias
simulaciones
Métodos Semiparamétricos y No Paramétricos
Modelos de Datos de Panel
Costo
Bancos
Economía de la Regulación
Acceso en línea:https://revistas.unc.edu.ar/index.php/REyE/article/view/36335
Aporte de:
Revista de Economía y Estadística de Universidad Nacional de Córdoba
Descripción
Sumario:In this paper we make a methodological analysis of the Error Components Frontier (ECF) panel data model performance based on Stochastic Frontier Analysis (SFA) method for cost efficiency benchmarking in the presence of small panels and outliers. By means of a set of simulations and a subsequent application to the Argentine banking sector during the period 2005-2014, we prove that under these conditions an SFA model may not be adequate for benchmarking. These results are relevant for the empirical literature since small panels with the presence of outliers represent classical scenarios in developing economies industries. Reception date: December 3, 2019.Acceptance date: June 28, 2021.

Ejemplares similares