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A Probabilistic Approach for Assessing the Significance of Contextual Variables in Nonparametric Frontier Models: An Application to Brazilian Banks

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  • e Souza, Geraldo da Silva
  • Staub, Roberta Blass
  • Tabak, Benjamin Miranda

Abstract

This article presents an empirical banking application illustrating the use of a nonparametric frontier model relying on a probabilistic definition of the production frontier. It investigates the statistical significance of nonperforming loans in productive efficiency for a sample of Brazilian banks using the concepts of conditional and unconditional efficiency measures in a context where it is not necessary to impose any particular distribution on the production data. The analysis is robust relative to the assumptions of convexity and separability of the underlying technology. It is concluded that, on average, a relative increase of 1% in nonperforming loans implies a statistically significant relative reduction of 5.7% in the conditional measure of efficiency.

Suggested Citation

  • e Souza, Geraldo da Silva & Staub, Roberta Blass & Tabak, Benjamin Miranda, 2008. "A Probabilistic Approach for Assessing the Significance of Contextual Variables in Nonparametric Frontier Models: An Application to Brazilian Banks," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 28(1), May.
    • Handle: RePEc:sbe:breart:v:28:y:2008:i:1:a:1520
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    Cited by:

    1. Tecles, Patricia Langsch & Tabak, Benjamin M., 2010. "Determinants of bank efficiency: The case of Brazil," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1587-1598, December.
    2. Fusco, Elisa & Vidoli, Francesco & Sahoo, Biresh K., 2018. "Spatial heterogeneity in composite indicator: A methodological proposal," Omega, Elsevier, vol. 77(C), pages 1-14.

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