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...

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Main Authors: Girela, Ignacio G., Vargas, José M.
Format: Online
Language:spa
Published: Instituto de Economía y Finanzas. Facultad de Ciencias Económicas. Universidada Nacional de Córdoba. 2021
Subjects:
Online Access:https://revistas.unc.edu.ar/index.php/REyE/article/view/36335
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author Girela, Ignacio G.
Vargas, José M.
author_facet Girela, Ignacio G.
Vargas, José M.
author_sort Girela, Ignacio G.
collection Portal de Revistas
description 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.
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institution Universidad Nacional de Cordoba
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publisher Instituto de Economía y Finanzas. Facultad de Ciencias Económicas. Universidada Nacional de Córdoba.
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spelling oai:ojs.revistas.unc.edu.ar:article-363352024-08-19T06:17:12Z Methodological considerations upon Stochastic Frontier Analysis for panel data models: evidence from cost-efficiency ECF model in the Argentine Banking Sector. Consideraciones metodológicas acerca del Análisis Estocástico de Frontera en modelos de datos de panel: evidencias del modelo ECF orientado a costos en el Sector Bancario Argentino Girela, Ignacio G. Vargas, José M. panel data SFA banking entities benchmarking simulations Semiparametric and Nonparametric Methods: General Panel Data Models Cost Banks Economics of Regulation datos de panel SFA eficiencia orientada a costos entidades bancarias benchmarking simulaciones Métodos Semiparamétricos y No Paramétricos Modelos de Datos de Panel Costo Bancos Economía de la Regulación 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. En este artículo analizamos metodológicamente el desempeño del modelo de datos de panel Error Components Frontier (ECF) basado en el método de Análisis de Frontera Estocástica (SFA) para estudios de eficiencia relativa orientado a costos ante la disponibilidad de paneles pequeños y con presencia de valores atípicos. Mediante una serie de simulaciones y una posterior aplicación al sector bancario argentino para el período 2005-2014, mostramos que bajo estas condiciones un modelo SFA puede no ser adecuado para hacer un análisis de eficiencia relativa. Estos resultados son relevantes para la literatura empírica ya que los paneles pequeños con presencia de valores atípicos representan escenarios típicos de los sectores económicos de economías en desarrollo. Fecha de recepción: 3 de Diciembre de 2019. Fecha de aceptación: 28 de Junio de 2021.   Instituto de Economía y Finanzas. Facultad de Ciencias Económicas. Universidada Nacional de Córdoba. 2021-12-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf text/html https://revistas.unc.edu.ar/index.php/REyE/article/view/36335 10.55444/2451.7321.2021.v59.n1.36335 Revista de Economía y Estadística; Vol. 59 No. 1 (2021); 37-60 Revista de Economía y Estadística; Vol. 59 Núm. 1 (2021); 37-60 2451-7321 0034-8066 10.55444/2451.7321.2021.v59.n1 spa https://revistas.unc.edu.ar/index.php/REyE/article/view/36335/36668 https://revistas.unc.edu.ar/index.php/REyE/article/view/36335/46348 http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle panel data
SFA
banking entities
benchmarking
simulations
Semiparametric and Nonparametric Methods: General
Panel Data Models
Cost
Banks
Economics of Regulation
datos de panel
SFA
eficiencia orientada a costos
entidades bancarias
benchmarking
simulaciones
Métodos Semiparamétricos y No Paramétricos
Modelos de Datos de Panel
Costo
Bancos
Economía de la Regulación
Girela, Ignacio G.
Vargas, José M.
Methodological considerations upon Stochastic Frontier Analysis for panel data models: evidence from cost-efficiency ECF model in the Argentine Banking Sector.
title Methodological considerations upon Stochastic Frontier Analysis for panel data models: evidence from cost-efficiency ECF model in the Argentine Banking Sector.
title_alt Consideraciones metodológicas acerca del Análisis Estocástico de Frontera en modelos de datos de panel: evidencias del modelo ECF orientado a costos en el Sector Bancario Argentino
title_full Methodological considerations upon Stochastic Frontier Analysis for panel data models: evidence from cost-efficiency ECF model in the Argentine Banking Sector.
title_fullStr Methodological considerations upon Stochastic Frontier Analysis for panel data models: evidence from cost-efficiency ECF model in the Argentine Banking Sector.
title_full_unstemmed Methodological considerations upon Stochastic Frontier Analysis for panel data models: evidence from cost-efficiency ECF model in the Argentine Banking Sector.
title_short Methodological considerations upon Stochastic Frontier Analysis for panel data models: evidence from cost-efficiency ECF model in the Argentine Banking Sector.
title_sort methodological considerations upon stochastic frontier analysis for panel data models evidence from cost efficiency ecf model in the argentine banking sector
topic panel data
SFA
banking entities
benchmarking
simulations
Semiparametric and Nonparametric Methods: General
Panel Data Models
Cost
Banks
Economics of Regulation
datos de panel
SFA
eficiencia orientada a costos
entidades bancarias
benchmarking
simulaciones
Métodos Semiparamétricos y No Paramétricos
Modelos de Datos de Panel
Costo
Bancos
Economía de la Regulación
topic_facet panel data
SFA
banking entities
benchmarking
simulations
Semiparametric and Nonparametric Methods: General
Panel Data Models
Cost
Banks
Economics of Regulation
datos de panel
SFA
eficiencia orientada a costos
entidades bancarias
benchmarking
simulaciones
Métodos Semiparamétricos y No Paramétricos
Modelos de Datos de Panel
Costo
Bancos
Economía de la Regulación
url https://revistas.unc.edu.ar/index.php/REyE/article/view/36335
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