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Effects of heterogeneity on bank efficiency scores

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  • Bos, J.W.B.
  • Koetter, M.
  • Kolari, J.W.
  • Kool, C.J.M.

Abstract

Bank efficiency estimates often serve as a proxy of managerial skill since they quantify sub-optimal production choices. But such deviations can also be due to omitted systematic differences among banks. In this study, we examine the effects of heterogeneity on bank efficiency scores. We compare different specifications of a stochastic cost and alternative profit frontier model with a baseline specification. After conducting a specification test, we discuss heterogeneity effects on efficiency levels, ranks and the tails of the efficiency distribution. We find that heterogeneity controls influence both banks' optimal costs and profits and their ability to be efficient. Differences in efficiency scores are important for more than only methodological reasons. First, different ways of accounting for heterogeneity result in estimates of foregone profits and additional costs that are significantly different from what we infer from our general specification. Second, banks are significantly re-ranked when their efficiency is estimated with a specification other than the preferred, general specification. Third, the general specification gives the most reliable estimates of the probability of distress, although differences to the other specifications are low.

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Bibliographic Info

Article provided by Elsevier in its journal European Journal of Operational Research.

Volume (Year): 195 (2009)
Issue (Month): 1 (May)
Pages: 251-261

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Handle: RePEc:eee:ejores:v:195:y:2009:i:1:p:251-261

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

Related research

Keywords: Bank production Heterogeneity X-Efficiency Benchmarking Distress;

References

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Citations

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Cited by:
  1. Peresetsky, Anatoly, 2010. "Bank cost efficiency in Kazakhstan and Russia," BOFIT Discussion Papers 1/2010, Bank of Finland, Institute for Economies in Transition.
  2. Chrysovalantis Gaganis & Iftekhar Hasan & Fotios Pasiouras, 2013. "Efficiency and stock returns: evidence from the insurance industry," Journal of Productivity Analysis, Springer, vol. 40(3), pages 429-442, December.
  3. Goddard, John & Molyneux, Philip & Williams, Jonathan, 2014. "Dealing with cross-firm heterogeneity in bank efficiency estimates: Some evidence from Latin America," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 130-142.
  4. Koetter, Michael & Poghosyan, Tigran, 2008. "The implications of latent technology regimes for competition and efficiency in banking," Discussion Paper Series 2: Banking and Financial Studies 2008,15, Deutsche Bundesbank, Research Centre.
  5. John Goddard & Phil Molyneux & Jonathan Williams, 2013. "Dealing with Cross-Firm Heterogeneity in Bank Efficiency Estimates: Some evidence from Latin America," Working Papers 13011, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
  6. Fiordelisi, Franco & Marques-Ibanez, David & Molyneux, Phil, 2011. "Efficiency and risk in European banking," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1315-1326, May.
  7. Franco Fiordelisi & David Marques & Phil Molyneux, 2009. "Efficiency and Risk-Taking in European Banking," Working Papers 09004, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
  8. Williams, Jonathan, 2012. "Efficiency and market power in Latin American banking," Journal of Financial Stability, Elsevier, vol. 8(4), pages 263-276.
  9. 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.
  10. Cristina Bernini & Paola Brighi, 2011. "Relationship Lending, Distance and Efficiency in a Heterogeneous Banking System," Working Paper Series 41_11, The Rimini Centre for Economic Analysis.
  11. Koetter, Michael & Poghosyan, Tigran, 2008. "Real estate markets and bank distress," Discussion Paper Series 2: Banking and Financial Studies 2008,18, Deutsche Bundesbank, Research Centre.
  12. Subal Kumbhakar & Anatoly Peresetsky, 2013. "Cost efficiency of Kazakhstan and Russian banks: results from competing panel data models-super-1," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 6(1), pages 88-113, March.
  13. Nemanja Radić & Franco Fiordelisi & Claudia Girardone, 2012. "Efficiency and Risk-Taking in Pre-Crisis Investment Banks," Journal of Financial Services Research, Springer, vol. 41(1), pages 81-101, April.
  14. Fiordelisi, Franco & Molyneux, Phil, 2010. "The determinants of shareholder value in European banking," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1189-1200, June.
  15. Barros, Carlos Pestana & Williams, Jonathan, 2013. "The random parameters stochastic frontier cost function and the effectiveness of public policy: Evidence from bank restructuring in Mexico," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 98-108.
  16. Salvador Marín Hernández & Ester Gras Gil & Marcos Antón Renart, 2011. "Financial information and restructuring of spanish savings banks in a context of crisis. Changes in the regulation; content and evolution of FROB," CIRIEC-España, revista de economía pública, social y cooperativa, CIRIEC-España, issue 73, pages 99-126, October.

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