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Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity

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  • Guohua Feng

    ()

  • Apostolos Serletis

Abstract

This paper provides parametric estimates of technical change, efficiency change, economies of scale, and total factor productivity growth for large banks (those with assets in excess of $1 billion) in the United States, over the period from 2000 to 2005. This is done by estimating an output distance function subject to theoretical regularity within a Bayesian framework. We find that failure to incorporate theoretical regularity conditions results in mismeasured shadow revenue and/or cost shares, which in turn leads to perverse conclusions regarding productivity growth. Our results from the regularity-constrained model show that total factor productivity of the large U.S. banks grew at an average rate of 1.98% over the sample period. However, our estimates also show a clear downward trend in the growth rate of total factor productivity and our decomposition of the primal Divisia total factor productivity growth index into its three components - technical change, efficiency change, and economies of scale - indicates that technical change is the driving force behind this decline.

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Bibliographic Info

Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number 5/09.

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Length: 48 pages
Date of creation: 24 Jun 2009
Date of revision:
Handle: RePEc:msh:ebswps:2009-5

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Keywords: Productivity decomposition; Translog output distance function.;

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Cited by:
  1. Emir Malikov & Diego A. Restrepo-Tobón & Subal C. Kumbhakar, 2013. "Estimation of Banking technology under credit uncertainty," DOCUMENTOS DE TRABAJO CIEF 010938, UNIVERSIDAD EAFIT.
  2. Joseph P. Hughes & Loretta J. Mester, 2013. "Who said large banks don’t experience scale economies? Evidence from a risk-return-driven cost function," Working Papers 13-13, Federal Reserve Bank of Philadelphia, revised 04 Feb 2014.
  3. Collier, Trevor & Johnson, Andrew L. & Ruggiero, John, 2011. "Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis," European Journal of Operational Research, Elsevier, vol. 208(2), pages 153-160, January.
  4. Joseph P. Hughes, 2011. "The Elusive Scale Economies of the Largest Banks and their Implications for Global Competitiveness," Departmental Working Papers 201134, Rutgers University, Department of Economics.
  5. Feng, Guohua & Zhang, Xiaohui, 2012. "Productivity and efficiency at large and community banks in the US: A Bayesian true random effects stochastic distance frontier analysis," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 1883-1895.
  6. Leonardo Gambacorta & Adrian Van Rixtel, 2013. "Structural bank regulation initiatives: approaches and implications," BIS Working Papers 412, Bank for International Settlements.
  7. Joseph P. Hughes & Loretta J. Mester, 2013. "Measuring the performance of banks: theory, practice, evidence, and some policy implications," Working Papers 13-31, Federal Reserve Bank of Philadelphia.
  8. Bolt, Wilko & Humphrey, David, 2010. "Bank competition efficiency in Europe: A frontier approach," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1808-1817, August.
  9. Kersten Kellermann, 2011. "Too big to fail: a thorn in the side of free markets," Empirica, Springer, vol. 38(3), pages 331-349, July.
  10. Sameh Charfeddine Karray & Jamel eddine Chichti, 2013. "Bank Size and Efficiency in Developing Countries: Intermediation Approach versus Value Added Approach and Impact of Non-Traditional Activities," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(5), pages 593-613, May.
  11. Portela, Maria C.A.S. & Thanassoulis, Emmanuel, 2010. "Malmquist-type indices in the presence of negative data: An application to bank branches," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1472-1483, July.
  12. Hughes, Joseph P. & Mester, Loretta J., 2013. "Who said large banks don’t experience scale economies? Evidence from a risk-return-driven cost function," Journal of Financial Intermediation, Elsevier, vol. 22(4), pages 559-585.
  13. Joseph P. Hughes & Loretta J. Mester, 2013. "Measuring the Performance of Banks: Theory, Practice, Evidence, and Some Policy Implications," Departmental Working Papers 201322, Rutgers University, Department of Economics.
  14. David C. Wheelock & Paul Wilson, 2009. "Are U.S. banks too large?," Working Papers 2009-054, Federal Reserve Bank of St. Louis.
  15. Hryckiewicz, Aneta, 2014. "Originators, traders, neutrals, and traditioners – various banking business models across the globe. Does the business model matter for financial stability?," MPRA Paper 55118, University Library of Munich, Germany.
  16. Céline Meslier & Donald P. Morgan & Katherine Samolyk & Amine Tarazi, 2014. "The Benefits of Intrastate and Interstate Geographic Diversification in Banking," Working Papers hal-00950504, HAL.
  17. Ipatova, Irina & Peresetsky, Аnatoly, 2013. "Technical efficiency of Russian plastic and rubber production firms," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 32(4), pages 71-92.
  18. George Assaf, A. & Matousek, Roman & Tsionas, Efthymios G., 2013. "Turkish bank efficiency: Bayesian estimation with undesirable outputs," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 506-517.
  19. Feng, Guohua & Zhang, Xiaohui, 2014. "Returns to scale at large banks in the US: A random coefficient stochastic frontier approach," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 135-145.
  20. Uluc Aysun, 2013. "Bank size and macroeconomic shock transmission: Are there economic volatility gains from shrinking large, too big to fail banks?," Working Papers 2013-02, University of Central Florida, Department of Economics.

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