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Bootstrapping DEA-based Efficiency Measures and Malmquist Productivity Indices. A Study of Swedish Eye-Care Service Provision

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Author Info

  • Löthgren, Mickael

    ()
    (Department of Economic Statistics)

  • Tambour, Magnus

    ()
    (Centre for Health Economics)

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    Abstract

    The purpose of this paper is to use the bootstrap resampling technique to calculate confidence intervals for efficiency measures and Malmquist productivity indices. The efficiency and productivity measures are obtained from non-parametric linear programming models using primal production data. The bootstrap procedure is applied on a sample of Swedish eye-care departments, using data from the years 1992 and 1993. Significant positive changes in productivity are found mainly for departments located at medium sized hospitals. On average, the positive productivity change is due to a progressive development of the technology.

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    Bibliographic Info

    Paper provided by Stockholm School of Economics in its series Working Paper Series in Economics and Finance with number 78.

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    Length: 31 pages
    Date of creation: Oct 1995
    Date of revision:
    Publication status: Published in Applied Economics, 1999, pages 417-425.
    Handle: RePEc:hhs:hastef:0078

    Contact details of provider:
    Postal: The Economic Research Institute, Stockholm School of Economics, P.O. Box 6501, 113 83 Stockholm, Sweden
    Phone: +46-(0)8-736 90 00
    Fax: +46-(0)8-31 01 57
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    Web page: http://www.hhs.se/
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    Related research

    Keywords: Data envelopment analysis; efficiency measure; Malmquist productivity index; bootstrap; eye-care services;

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