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Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity

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  • Feng, Guohua
  • Serletis, Apostolos

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 US 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

Article provided by Elsevier in its journal Journal of Banking & Finance.

Volume (Year): 34 (2010)
Issue (Month): 1 (January)
Pages: 127-138

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Handle: RePEc:eee:jbfina:v:34:y:2010:i:1:p:127-138

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Web page: http://www.elsevier.com/locate/jbf

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Keywords: Productivity decomposition Translog output distance function;

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  1. W. Erwin Diewert & T.J. Wales, 1989. "Flexible Functional Forms and Global Curvature Conditions," NBER Technical Working Papers 0040, National Bureau of Economic Research, Inc.
  2. Guohua Feng & Apostolos Serletis, 2009. "Efficiency and productivity of the US banking industry, 1998-2005: evidence from the Fourier cost function satisfying global regularity conditions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 105-138.
  3. Mountain, Dean C. & Thomas, Hugh, 1999. "Factor price misspecification in bank cost function estimation," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 9(2), pages 163-182, April.
  4. Terrell, Dek, 1996. "Incorporating Monotonicity and Concavity Conditions in Flexible Functional Forms," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(2), pages 179-94, March-Apr.
  5. Kauko, Karlo, 2007. "Managers and efficiency in banking," Research Discussion Papers 11/2007, Bank of Finland.
  6. Cummins, J. David & Xie, Xiaoying, 2008. "Mergers and acquisitions in the US property-liability insurance industry: Productivity and efficiency effects," Journal of Banking & Finance, Elsevier, vol. 32(1), pages 30-55, January.
  7. Stijn Claessens & Luc Laeven, 2003. "Financial Development, Property Rights, and Growth," Journal of Finance, American Finance Association, vol. 58(6), pages 2401-2436, December.
  8. Berger, Allen N. & Mester, Loretta J., 2003. "Explaining the dramatic changes in performance of US banks: technological change, deregulation, and dynamic changes in competition," Journal of Financial Intermediation, Elsevier, vol. 12(1), pages 57-95, January.
  9. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.
  10. Berger, Allen N. & Demsetz, Rebecca S. & Strahan, Philip E., 1999. "The consolidation of the financial services industry: Causes, consequences, and implications for the future," Journal of Banking & Finance, Elsevier, vol. 23(2-4), pages 135-194, February.
  11. Mohamed Chaffai & Michel Dietsch & Ana Lozano-Vivas, 2001. "Technological and Environmental Differences in the European Banking Industries," Journal of Financial Services Research, Springer, vol. 19(2), pages 147-162, April.
  12. Gary Koop & M. F. J. Steel, 2004. "Bayesian Analysis of Stochastic Frontier Models," ESE Discussion Papers 19, Edinburgh School of Economics, University of Edinburgh.
  13. Allen N. Berger & David B. Humphrey, 1997. "Efficiency of Financial Institutions: International Survey and Directions for Future Research," Center for Financial Institutions Working Papers 97-05, Wharton School Center for Financial Institutions, University of Pennsylvania.
  14. Schoenberg, Ronald, 1997. "Constrained Maximum Likelihood," Computational Economics, Society for Computational Economics, vol. 10(3), pages 251-66, August.
  15. J.A. Bikker & K. Haaf, 2001. "Competition, Concentration and their Relationship: an EmpiricalAnalysis of the Banking Industry," DNB Staff Reports (discontinued) 68, Netherlands Central Bank.
  16. Asaftei, Gabriel, 2008. "The contribution of product mix versus efficiency and technical change in US banking," Journal of Banking & Finance, Elsevier, vol. 32(11), pages 2336-2345, November.
  17. Timo Kuosmanen, 2003. "Duality Theory of Non-convex Technologies," Journal of Productivity Analysis, Springer, vol. 20(3), pages 273-304, November.
  18. Sealey, Calvin W, Jr & Lindley, James T, 1977. "Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions," Journal of Finance, American Finance Association, vol. 32(4), pages 1251-66, September.
  19. Tim J. Coelli & Chris O'Donnell, 2003. "A Bayesian Approach To Imposing Curvature On Distance Functions," CEPA Working Papers Series WP032003, School of Economics, University of Queensland, Australia.
  20. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-39, December.
  21. Jaap W. B. Bos & James W. Kolari, 2005. "Large Bank Efficiency in Europe and the United States: Are There Economic Motivations for Geographic Expansion in Financial Services?," The Journal of Business, University of Chicago Press, vol. 78(4), pages 1555-1592, July.
  22. Feng, Guohua & Serletis, Apostolos, 2008. "Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions," Journal of Econometrics, Elsevier, vol. 142(1), pages 281-311, January.
  23. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676.
  24. Michael Koetter, 2006. "Measurement Matters—Alternative Input Price Proxies for Bank Efficiency Analyses," Journal of Financial Services Research, Springer, vol. 30(2), pages 199-227, October.
  25. Paul W. Bauer & Allen N. Berger & Gary D. Ferrier & David B. Humphrey, 1997. "Consistency conditions for regulatory analysis of financial institutions: a comparison of frontier efficiency methods," Financial Services working paper 97-02, Federal Reserve Bank of Cleveland.
  26. Gallant, A. Ronald & Golub, Gene H., 1984. "Imposing curvature restrictions on flexible functional forms," Journal of Econometrics, Elsevier, vol. 26(3), pages 295-321, December.
  27. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-38, March.
  28. Barnett, William A. & Geweke, John & Wolfe, Michael, 1991. "Seminonparametric Bayesian estimation of the asymptotically ideal production model," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 5-50.
  29. Atkinson, Scott E & Cornwell, Christopher & Honerkamp, Olaf, 2003. "Measuring and Decomposing Productivity Change: Stochastic Distance Function Estimation versus Data Envelopment Analysis," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(2), pages 284-94, April.
  30. Schmidt, Peter, 1988. "Estimation of a fixed-effect Cobb-Douglas system using panel data," Journal of Econometrics, Elsevier, vol. 37(3), pages 361-380, March.
  31. Koutsomanoli-Filippaki, Anastasia & Margaritis, Dimitris & Staikouras, Christos, 2009. "Efficiency and productivity growth in the banking industry of Central and Eastern Europe," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 557-567, March.
  32. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  33. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
  34. 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.
  35. Gallant, A. Ronald, 1982. "Unbiased determination of production technologies," Journal of Econometrics, Elsevier, vol. 20(2), pages 285-323, November.
  36. Luis Orea, 2002. "Parametric Decomposition of a Generalized Malmquist Productivity Index," Journal of Productivity Analysis, Springer, vol. 18(1), pages 5-22, July.
  37. Stiroh, Kevin J., 2000. "How did bank holding companies prosper in the 1990s?," Journal of Banking & Finance, Elsevier, vol. 24(11), pages 1703-1745, November.
  38. C. Lovell, 2003. "The Decomposition of Malmquist Productivity Indexes," Journal of Productivity Analysis, Springer, vol. 20(3), pages 437-458, November.
  39. Giannis Karagiannis & Peter Midmore & Vangelis Tzouvelekas, . "Parametric Decomposition Of Output Growth," Working Papers 0204, University of Crete, Department of Economics.
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Cited by:
  1. 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.
  2. 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.
  3. Leonardo Gambacorta & Adrian Van Rixtel, 2013. "Structural bank regulation initiatives: approaches and implications," BIS Working Papers 412, Bank for International Settlements.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. David C. Wheelock & Paul Wilson, 2009. "Are U.S. banks too large?," Working Papers 2009-054, Federal Reserve Bank of St. Louis.
  9. 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.
  10. 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.
  11. 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.
  12. Kersten Kellermann, 2011. "Too big to fail: a thorn in the side of free markets," Empirica, Springer, vol. 38(3), pages 331-349, July.
  13. 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.
  14. 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.
  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. 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.
  17. 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.
  18. Malikov, Emir & Restrepo-Tobon, Diego A & Kumbhakar, Subal C, 2013. "Estimation of banking technology under credit uncertainty," MPRA Paper 55991, University Library of Munich, Germany.

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