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A Novel MIMIC-Style Model of European Bank Technical Efficiency and Productivity Growth

Author

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  • Marwan Izzeldin
  • Emmanuel Mamatzakis
  • Anthony Murphy
  • Mike G. Tsionas

Abstract

Using Bayesian Monte Carlo methods, we augment a stochastic distance function measure of bank efficiency and productivity growth with indicators of capitalization, return and risk. Our novel Multiple Indicator-Multiple Cause (MIMIC) style model generates more precise estimates of policy relevant parameters such as returns to scale, technical inefficiency and productivity growth. We find considerable variation in the performance of EU-15 banks over the period 2008 to 2015. For the vast majority of banks, productivity growth – the sum of efficiency and technical changes – is negative, implying that the industry would benefit from innovation. We show that greater technical efficiency is associated with higher profitability, higher capital, a lower probability of default and lower return volatility.

Suggested Citation

  • Marwan Izzeldin & Emmanuel Mamatzakis & Anthony Murphy & Mike G. Tsionas, 2020. "A Novel MIMIC-Style Model of European Bank Technical Efficiency and Productivity Growth," Working Papers 2012, Federal Reserve Bank of Dallas.
    • Handle: RePEc:fip:feddwp:88038
    DOI: 10.24149/wp2012
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    References listed on IDEAS

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    1. Baselga-Pascual, Laura & Trujillo-Ponce, Antonio & Cardone-Riportella, Clara, 2015. "Factors influencing bank risk in Europe: Evidence from the financial crisis," The North American Journal of Economics and Finance, Elsevier, vol. 34(C), pages 138-166.
    2. Berger, Allen N. & Humphrey, David B., 1997. "Efficiency of financial institutions: International survey and directions for future research," European Journal of Operational Research, Elsevier, vol. 98(2), pages 175-212, April.
    3. Manthos D. Delis & Philip Molyneux & Fotios Pasiouras, 2011. "Regulations and Productivity Growth in Banking: Evidence from Transition Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(4), pages 735-764, June.
    4. Dietsch, Michel & Lozano-Vivas, Ana, 2000. "How the environment determines banking efficiency: A comparison between French and Spanish industries," Journal of Banking & Finance, Elsevier, vol. 24(6), pages 985-1004, June.
    5. Carlos Pestana Barros & Nicolas Peypoch & Jonathan Williams, 2010. "A note on productivity change in European cooperative banks: the Luenberger indicator approach," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(2), pages 137-147.
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    Cited by:

    1. Mamatzakis, Emmanuel C. & Ongena, Steven & Tsionas, Mike G., 2021. "Does alternative finance moderate bank fragility? Evidence from the euro area," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).

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    More about this item

    Keywords

    Multiple Indicators-Multiple Causes (MIMIC); technical efficiency; productivity growth; EU banks;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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