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Economic Efficiency Estimation of Banks’ Activities Directed at Loans Products Advertisement

Author

Listed:
  • Aivazian , Sergei

    (CEMI RAS, Moscow, Russia)

  • Afanasiev , Mikhail

    (CEMI RAS, Moscow, Russia)

  • Afanasyev, Alexander

    (Department of Economics Moscow State University, Moscow, Russia)

Abstract

A method and results of economic efficiency estimation of advertisement activities carried out by a commercial bank are described. The main consideration is given to auto loans. The purpose of these activities is to increase consumer loans volumes. The resulted credit volumes are also estimated. The estimation method is based on the stochastic frontier methodology formulated in our previous work [Aivazian, Afanasiev (2009)]

Suggested Citation

  • Aivazian , Sergei & Afanasiev , Mikhail & Afanasyev, Alexander, 2009. "Economic Efficiency Estimation of Banks’ Activities Directed at Loans Products Advertisement," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 16(4), pages 46-59.
    • Handle: RePEc:ris:apltrx:0040
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    References listed on IDEAS

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    1. Aivazian, Sergei & Afanasiev, Mikhail, 2009. "Estimation of the Economic Efficiency of a Shift to the Achievable Production Potential," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 15(3), pages 43-55.
    2. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    3. Afanasiev, Mikhail, 2006. "A Model of the Production Potential with Managed Factors of Inefficiency," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 4(4), pages 74-89.
    4. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    5. Aivazian, Sergei & Afanasiev, Mikhail, 2007. "Estimation of Measures Directed at Management of Factors of Production Inefficiency," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 8(4), pages 27-41.
    6. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Воронцовский Алексей Владимирович & Вьюненко Людмила Федоровна, 2014. "Построение Траекторий Развития Экономики На Основе Аппроксимации Условий Стохастических Моделей Экономического Роста," Vestnik of the St. Petersburg University. Series 5. Economics Вестник Санкт-Петербургского университета. Серия 5. Экономика, CyberLeninka;Федеральное государственное бюджетное образовательное учреждение высшего образования «Санкт-Петербургский государственный университет», issue 3, pages 123-147.
    2. 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.
    3. Холодкова Виктория Владимировна, 2012. "Оценка Устойчивости Показателей Эффективности Инвестиционного Проекта С Помощью Метода Монте-Карло," Vestnik of the St. Petersburg University. Series 5. Economics Вестник Санкт-Петербургского университета. Серия 5. Экономика, CyberLeninka;Федеральное государственное бюджетное образовательное учреждение высшего образования «Санкт-Петербургский государственный университет», issue 2, pages 129-138.
    4. Качалов Георгий Валентинович, 2015. "Роль Человеческого Капитала В Становлении Эффективной Экономики," Creative Economy Креативная экономика, CyberLeninka;Общество с ограниченной ответственностью Издательство «Креативная экономика», vol. 9(2), pages 149-160.

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    More about this item

    Keywords

    Stochastic frontier; Estimation of the economic efficiency; Advertising; Banks; Volume of crediting; Monte Carlo-modeling;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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