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Efficiency of labour use in the Swedish banking industry: a stochastic frontier approach

Author

Listed:
  • George E. Battese

    (School of Economic Studies, University of New England, Armidale, NSW 2351, AUSTRALIA)

  • Lennart Hjalmarsson

    (Department of Economics, Göteborg University, P.O. Box 640, SE 405 30 Göteborg, SWEDEN)

  • Almas Heshmati

    (Department of Economic Statistics, Stockholm School of Economics, Box 6501, S-113 83, Stockholm, SWEDEN)

Abstract
The purpose of this paper is to analyse the impact of the deregulation of the Swedish banking industry in the mid-1980s, and the consequent banking crisis, on productive efficiency and productivity growth in the industry. An unbalanced panel of Swedish banks is studied over the period, 1984 to 1995. A total of 1275 observations are analysed for 156 banks that were observed for between two and twelve years. We adopt a translog stochastic frontier model to estimate the labour-use requirements in terms of the variables, loans, deposits, guarantees, number of branches and total inventories, together with the year of observation. The inefficiency effects in the labour-use frontier are modelled in terms of the number of branches, total inventories, the type of bank and year of observation. The technical inefficiencies of labour use of Swedish banks were found to be significant, with mean inefficiencies per year estimated to be between about 8 and 15 per cent over the years of study. However, the confidence interval predictions for these inefficiencies were found to be quite wide.

Suggested Citation

  • George E. Battese & Lennart Hjalmarsson & Almas Heshmati, 2000. "Efficiency of labour use in the Swedish banking industry: a stochastic frontier approach," Empirical Economics, Springer, vol. 25(4), pages 623-640.
    • Handle: RePEc:spr:empeco:v:25:y:2000:i:4:p:623-640
    Note: received: August 1998/Final version received: April 2000
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    Cited by:

    1. Ajibefun, Igbekele A., 2006. "Linking Socio-Economic and Policy Variables to Technical Efficiency of Traditional Agricultural Production: Empirical Evidence from Nigeria," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25535, International Association of Agricultural Economists.
    2. Jaan Masso & Almas Heshmati, 2004. "The optimality and overuse of labour in Estonian manufacturing enterprises," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 12(4), pages 683-720, December.
    3. Michael D. Rosko, 2001. "Cost efficiency of US hospitals: a stochastic frontier approach," Health Economics, John Wiley & Sons, Ltd., vol. 10(6), pages 539-551, September.
    4. Omer, Amani A. & Pascual, Unai & Russell, Noel P., 2005. "The Economics of Biodiversity Conservation in Agricultural Transition," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24636, European Association of Agricultural Economists.
    5. Sipilainen, Timo & Oude Lansink, Alfons G.J.M., 2005. "Learning in Organic Farming - An Application on Finnish Dairy Farms," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24493, European Association of Agricultural Economists.
    6. I. Fraser & W. Horrace, 2003. "Technical Efficiency of Australian Wool Production: Point and Confidence Interval Estimates," Journal of Productivity Analysis, Springer, vol. 20(2), pages 169-190, September.
    7. Germán M. Izón & Chelsea A. Pardini, 2017. "Cost inefficiency under financial strain: a stochastic frontier analysis of hospitals in Washington State through the Great Recession," Health Care Management Science, Springer, vol. 20(2), pages 232-245, June.
    8. Behr, Andreas & Tente, Sebastian, 2008. "Stochastic frontier analysis by means of maximum likelihood and the method of moments," Discussion Paper Series 2: Banking and Financial Studies 2008,19, Deutsche Bundesbank.
    9. Fitzpatrick, Trevor & McQuinn, Kieran, 2004. "Cost Efficiency in UK and Irish Credit Institutions," Research Technical Papers 3/RT/04, Central Bank of Ireland.
    10. Carlos S�nchez-Gonz�lez & Jos� Luis Sarto & Luis Vicente, 2013. "The efficiency of Spanish mutual funds companies: A slacks-based measure approach," Documentos de Trabajo dt2013-01, Facultad de Ciencias Económicas y Empresariales, Universidad de Zaragoza.
    11. Hulusi Inanoglu & Mahmoud A. El-Gamal, 2005. "Inefficiency and heterogeneity in Turkish banking: 1990-2000," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(5), pages 641-664.

    More about this item

    Keywords

    Labour demand · labour-use · technical efficiency · banking industry;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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