IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Are U.S. Commercial Banks Too Big?

  • Diego A. Restrepo-Tobón

    ()

  • Subal C. Kumbhakar

    ()

  • Kai Sun

    ()

This paper presents new nonparametric measures of scale economies and TFP growth for U.S. banks. Unlike previous studies that use fully nonparametric models, our approach controls for time-invariant unobserved heterogeneity among banks in estimating returns to scale, TFP growth and its components. Using data for U.S. commercial banks from 2001 to 2010, we find evidence of significant scale economies across the entire bank size distribution. Returns to scale are persistent over time, decrease with bank size, and contribute significantly to TFP growth. Our results indicate that almost all small and medium size banks and most of the largest banks have strong economic incentives to keep growing. Thus, the consolidation of the banking industry is unlikely to retrench in the near future.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://repository.eafit.edu.co/bitstream/handle/10784/996/2013_14_Diego_A_Restrepo.pdf?sequence=1&isAllowed=y
Download Restriction: no

Paper provided by UNIVERSIDAD EAFIT in its series DOCUMENTOS DE TRABAJO CIEF with number 010943.

as
in new window

Length: 46
Date of creation: 02 Feb 2013
Date of revision:
Handle: RePEc:col:000122:010943
Contact details of provider:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Subal C. Kumbhakar & Gudbrand Lien & Ola Flaten & Ragnar Tveter�s, 2008. "Impacts of Norwegian Milk Quotas on Output Growth: A Modified Distance Function Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(2), pages 350-369, 06.
  2. Joseph P. Hughes & William Lang & Loretta J. Mester & Choon-Geol Moon, 1996. "Efficient banking under interstate branching," Proceedings, Board of Governors of the Federal Reserve System (U.S.), pages 1045-1075.
  3. Donald S. Siegel & Catherine J. Morrison Paul, 1999. "Scale Economies and Industry Agglomeration Externalities: A Dynamic Cost Function Approach," American Economic Review, American Economic Association, vol. 89(1), pages 272-290, March.
  4. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
  5. Li, Qi, et al, 2002. "Semiparametric Smooth Coefficient Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 412-22, July.
  6. Subal C. Kumbhakar & Ana Lozano-Vivas, 2004. "Deregulation and Productivity: The Case of Spanish Banks," Economic Working Papers at Centro de Estudios Andaluces E2004/24, Centro de Estudios Andaluces.
  7. Tristen Hayfield & Jeffrey S. Racine, . "Nonparametric Econometrics: The np Package," Journal of Statistical Software, American Statistical Association, vol. 27(i05).
  8. Amel, Dean & Barnes, Colleen & Panetta, Fabio & Salleo, Carmelo, 2004. "Consolidation and efficiency in the financial sector: A review of the international evidence," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2493-2519, October.
  9. Chad Syverson, 2011. "What Determines Productivity?," Journal of Economic Literature, American Economic Association, vol. 49(2), pages 326-65, June.
  10. Wang, Hung-Jen & Ho, Chia-Wen, 2010. "Estimating fixed-effect panel stochastic frontier models by model transformation," Journal of Econometrics, Elsevier, vol. 157(2), pages 286-296, August.
  11. 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.
  12. Joseph P. Hughes & Loretta J. Mester & Choon-Geol Moon, 2000. "Are scale economies in banking elusive or illusive? Evidence obtained by incorporating capital structure and risk-taking into models of bank production," Working Papers 00-4, Federal Reserve Bank of Philadelphia.
  13. David Humphrey, 1993. "Cost and technical change: Effects from bank deregulation," Journal of Productivity Analysis, Springer, vol. 4(1), pages 9-34, June.
  14. Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
  15. Allen N. Berger & Gerald A. Hanweck & David B. Humphrey, 1986. "Competitive viability in banking: scale, scope, and product mix economies," Research Papers in Banking and Financial Economics 82, Board of Governors of the Federal Reserve System (U.S.).
  16. Allen N. Berger & Loretta J. Mester, 1997. "Inside the Black Box: What Explains Differences in the Efficiencies of Financial Institutions?," Center for Financial Institutions Working Papers 97-04, Wharton School Center for Financial Institutions, University of Pennsylvania.
  17. Jason Allen & Ying Liu, 2007. "Efficiency and economies of scale of large Canadian banks," Canadian Journal of Economics, Canadian Economics Association, vol. 40(1), pages 225-244, February.
  18. Li, Qi & Racine, Jeffrey S., 2010. "Smooth Varying-Coefficient Estimation And Inference For Qualitative And Quantitative Data," Econometric Theory, Cambridge University Press, vol. 26(06), pages 1607-1637, December.
  19. William Greene, 2002. "Fixed and Random Effects in Stochastic Frontier Models," Working Papers 02-16, New York University, Leonard N. Stern School of Business, Department of Economics.
  20. Mukherjee, Kankana & Ray, Subhash C. & Miller, Stephen M., 2001. "Productivity growth in large US commercial banks: The initial post-deregulation experience," Journal of Banking & Finance, Elsevier, vol. 25(5), pages 913-939, May.
  21. Loretta J. Mester, 1994. "How efficient are Third District banks?," Business Review, Federal Reserve Bank of Philadelphia, issue Jan, pages 3-18.
  22. Hunter, William C & Timme, Stephen G, 1991. "Technological Change in Large U.S. Commercial Banks," The Journal of Business, University of Chicago Press, vol. 64(3), pages 339-62, July.
  23. David C. Wheelock & Paul W. Wilson, 2011. "Are Credit Unions Too Small?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1343-1359, November.
  24. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
  25. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-54, July.
  26. Joseph P. Hughes & Loretta J. Mester, 1997. "Bank capitalization and cost: evidence of scale economies in risk management and signaling," Working Papers 96-2, Federal Reserve Bank of Philadelphia.
  27. David B. Humphrey, 1991. "Productivity in banking and effects from deregulation," Economic Review, Federal Reserve Bank of Richmond, issue Mar, pages 16-28.
  28. Subal Kumbhakar & Kai Sun, 2012. "Estimation of TFP growth: a semiparametric smooth coefficient approach," Empirical Economics, Springer, vol. 43(1), pages 1-24, August.
  29. Allen N. Berger & Loretta J. Mester, 2001. "Explaining the Dramatic Changes in Performance of U.S. Banks: Technological Change, Deregulation and Dynamic Changes in Competition," Center for Financial Institutions Working Papers 01-22, Wharton School Center for Financial Institutions, University of Pennsylvania.
  30. Mester, Loretta J., 1996. "A study of bank efficiency taking into account risk-preferences," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1025-1045, July.
  31. Jeffrey A. Clark, 1988. "Economies of scale and scope at depository financial institutions: a review of the literature," Economic Review, Federal Reserve Bank of Kansas City, issue Sep, pages 16-33.
  32. Abhiman Das & Subal C. Kumbhakar, 2012. "Productivity and efficiency dynamics in Indian banking: An input distance function approach incorporating quality of inputs and outputs," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 205-234, 03.
  33. Rogers, Kevin E., 1998. "Nontraditional activities and the efficiency of US commercial banks," Journal of Banking & Finance, Elsevier, vol. 22(4), pages 467-482, May.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:col:000122:010943. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Centro de Investigaciones Económicas y Financieras (CIEF))

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.