• Title of article

    The Biennial Malmquist Index in the of Negative Data

  • Author/Authors

    Mohammadi Ghehsareh، Narjes نويسنده MS student in plant breeding, College of plant breeding science, Emam Khomeini International University of Ghazvin, Iran , , Yousefpour، Alireza نويسنده Department of IT & Computer, Islamic Azad University of Qaemshahr branch, Iran ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2014
  • Pages
    11
  • From page
    1
  • To page
    11
  • Abstract
    We purpose the range directional model (RDM), a particular case of the directional distance function, is used for computing efficiency in the presence of negative data. We use RDM efficiency measures to arrive at a Malmquist-type index which can reflect productivity change. We illustrate how the biennial Malmquist index can be used, not only for comparing the performance of a unit in two time periods, but also for comparing the performance of two different units at the same or different time periods. The proposed approach is then applied to a sample of bank branches where negative data were involved. In this paper, we introduce a biennial Malmquist index of productivity change that can be used with negative data.
  • Journal title
    The Journal of Mathematics and Computer Science(JMCS)
  • Serial Year
    2014
  • Journal title
    The Journal of Mathematics and Computer Science(JMCS)
  • Record number

    1435440