Adequacy of deterministic and parametric frontiers to analyze the efficiency of Indian commercial banks

Thiago Silva (), Benjamin Tabak, Daniel Cajueiro and Marina Villas Boas Dias

Physica A: Statistical Mechanics and its Applications, 2018, vol. 506, issue C, 1016-1025

Abstract: This study applies data envelopment analysis and the stochastic frontier approach to a sample of Indian commercial banks to discuss the inconsistencies between these models. We find that DEA average efficiency scores are, in general, lower than those from the SFA model. However, both models indicate similar trends on efficiency scores over the years, which we state is more relevant than efficiency levels themselves. We also find that the rank correlation between these efficiency scores is low. This means that the application of only one frontier model may yield misleading conclusions. We point out that a thorough consideration of the suitability of a deterministic or a parametric frontier to the framework in analysis should guide the choice between the application of parametric or non-parametric methodologies.

Keywords: Bank efficiency; Stochastic frontier approach; Data envelopment analysis (search for similar items in EconPapers)
JEL-codes: G21 G28 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Working Paper: The Adequacy of Deterministic and Parametric Frontiers to Analyze the Efficiency of Indian Commercial Banks (2014)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:506:y:2018:i:c:p:1016-1025

DOI: 10.1016/j.physa.2018.04.100

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