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Economies d?échelle, économies de diversification et efficacité productive des banques luxembourgeoises : une analyse comparative des frontières stochastiques sur données en panel

  • Abdelaziz Rouabah


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    This study analyses productive efficiency in banking and scale and scope economies using stochastic frontier analysis. The European banking sector underwent great changes during the period under study (1995-2000), featuring a marked increase in competition. Empirical results suggest that Luxembourg-based banks in our sample are relatively efficient and that their good performance can in part be explained by independent variables in the cost function and by technological progress. Estimated scale elasticities do not provide evidence in favour of economies of scale. However, test results generally cannot reject the existence of cost-complementarities across the following output pairs: deposits-loans, loans-securities, and deposits-securities.

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    Paper provided by Central Bank of Luxembourg in its series BCL working papers with number 3.

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    Length: 42 pages
    Date of creation: Feb 2002
    Date of revision:
    Handle: RePEc:bcl:bclwop:bclwp003
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    1. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July.
    2. J.A. Bikker, 1999. "Efficiency in the European banking industry: an exploratory analysis to rank countries," Research Series Supervision (discontinued) 18, Netherlands Central Bank, Directorate Supervision.
    3. Allen, Linda & Rai, Anoop, 1996. "Operational efficiency in banking: An international comparison," Journal of Banking & Finance, Elsevier, vol. 20(4), pages 655-672, May.
    4. Altunbas, Y. & Chakravarty, S. P., 2001. "Frontier cost functions and bank efficiency," Economics Letters, Elsevier, vol. 72(2), pages 233-240, August.
    5. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
    6. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    7. 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.
    8. Seiford, Lawrence M. & Thrall, Robert M., 1990. "Recent developments in DEA : The mathematical programming approach to frontier analysis," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 7-38.
    9. Allen N. Berger & David B. Humphrey, 1997. "Efficiency of financial institutions: international survey and directions for future research," Finance and Economics Discussion Series 1997-11, Board of Governors of the Federal Reserve System (U.S.).
    10. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    11. Bauer, Paul W., 1990. "Recent developments in the econometric estimation of frontiers," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 39-56.
    12. Mester, Loretta J., 1993. "Efficiency in the savings and loan industry," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 267-286, April.
    13. 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.
    14. Allen N. Berger & Loretta J. Mester, 1997. "Inside the black box: what explains differences in the efficiencies of financial institutions?," Finance and Economics Discussion Series 1997-10, Board of Governors of the Federal Reserve System (U.S.).
    15. Hasan, Iftekhar & Lozano-Vivas, Ana & Pastor, Jesús T., 2000. "Cross-Border Performance in European Banking," Research Discussion Papers 24/2000, Bank of Finland.
    16. Berger, Allen N. & Humphrey, David B., 1991. "The dominance of inefficiencies over scale and product mix economies in banking," Journal of Monetary Economics, Elsevier, vol. 28(1), pages 117-148, August.
    17. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    18. Berger, Allen N. & Hunter, William C. & Timme, Stephen G., 1993. "The efficiency of financial institutions: A review and preview of research past, present and future," Journal of Banking & Finance, Elsevier, vol. 17(2-3), pages 221-249, April.
    19. DeYoung, Robert, 1997. "Comment on 'Operational efficiency in banking: An international perspective'," Journal of Banking & Finance, Elsevier, vol. 21(10), pages 1325-1329, October.
    20. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
    21. Leibenstein, Harvey & Maital, Shlomo, 1992. "Empirical Estimation and Partitioning of X-Inefficiency: A Data-Envelopment Approach," American Economic Review, American Economic Association, vol. 82(2), pages 428-33, May.
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