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
Link To Document :
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