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Estimating global frontier shifts and global Malmquist indices

Listed author(s):
  • Mette Asmild

    ()

  • Fai Tam

    ()

Registered author(s):

    The Malmquist index is a measure of productivity changes, of which an important component is the frontier shift or technological change. Often technological change can be viewed as a global phenomenon, and therefore individual or local measures of technological changes are aggregated into an overall measure, traditionally using geometric means. In this paper we propose a way of calculating global Malmquist indices and global frontier shift indices which provides a better estimation of the true frontier shift and furthermore is easy to calculate. Using simulation studies we show how this method outperforms the traditional aggregation approach, especially for sparsely populated production possibility sets and for frontiers that also change shape over time. Furthermore, our global indices can be used for unbalanced panels without disregarding any information. Finally, we show how the global indices are meaningful for calculating differences between frontiers from different groups rather than different time periods as illustrated in a small case study of bank branches in different countries. Copyright Springer Science+Business Media, LLC 2007

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    File URL: http://hdl.handle.net/10.1007/s11123-006-0028-0
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    Article provided by Springer in its journal Journal of Productivity Analysis.

    Volume (Year): 27 (2007)
    Issue (Month): 2 (April)
    Pages: 137-148

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    Handle: RePEc:kap:jproda:v:27:y:2007:i:2:p:137-148
    DOI: 10.1007/s11123-006-0028-0
    Contact details of provider: Web page: http://www.springer.com

    Order Information: Web: http://www.springer.com/economics/microeconomics/journal/11123/PS2

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    1. Fare, Rolf, et al, 1997. " Biased Technical Change and the Malmquist Productivity Index," Scandinavian Journal of Economics, Wiley Blackwell, vol. 99(1), pages 119-127, March.
    2. 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.
    3. 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 1033-1039, December.
    4. Denise McEachern & Joseph Paradi, 2007. "Intra- and inter-country bank branch assessment using DEA," Journal of Productivity Analysis, Springer, vol. 27(2), pages 123-136, April.
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