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Efficiency model of Russian banks

Author

Listed:
  • Pavlyuk, Dmitry

    (Saratov State Socio-Economic University)

Abstract

The article deals with problems related to the stochastic frontier model of bank efficiency measurement. The model is used to study the efficiency of the banking sector of The Russian Federation. It is based on the stochastic approach both to the efficiency frontier location and to individual bank efficiency values. The model allows estimating bank efficiency values, finding relations with different macro- and microeconomic factors and testing some economic hypotheses.

Suggested Citation

  • Pavlyuk, Dmitry, 2006. "Efficiency model of Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 3(3), pages 3-8.
    • Handle: RePEc:ris:apltrx:0106
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    File URL: http://pe.cemi.rssi.ru/pe_2006_3_03-08.pdf
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    References listed on IDEAS

    as
    1. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
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    Citations

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    Cited by:

    1. Mamonov, Mikhail, 2012. "The impact of market power of Russian banks on their credit risk tolerance: A panel study," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 28(4), pages 85-112.
    2. Belousova, Veronika & Karminsky, Alexander & Kozyr, Ilya, 2018. "The macroeconomic and institutional determinants of the profit efficiency frontier for Russian banks," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 91-114.
    3. Nazin, Vladimir, 2010. "Nonparametric estimates of technical efficiency of Russian banks and crisis impact," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 20(4), pages 28-52.
    4. Головань С.В. & Назин В.В. & Пересецкий А.А., 2010. "Непараметрические Оценки Эффективности Российских Банков," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 46(3), июль.
    5. Belousova, V. & Kozyr, I., 2016. "How Do Macroeconomic Indicators Influence Banking Profitability in Russia?," Journal of the New Economic Association, New Economic Association, vol. 30(2), pages 77-103.

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    More about this item

    Keywords

    stochastic frontier; efficiency; banking sector; Russian Federation;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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