DEA is a relatively new "data oriented” approach for
evaluating the performance of a set of peer entities called Decision
Making Units (DMUs), which convert multiple inputs into multiple
outputs. The definition of a DMU is generic and flexible. In recent
years, there have been a great variety of applications of DEA in
evaluating the performances of many different kinds of entities engaged
in many different activities, in many different contexts, and in many
different countries.
These
DEA applications have used various forms of DMUs to evaluate the
performance of entities, such as hospitals, US Air Force wings,
universities, cities, courts, business firms, and others, including the
performance of countries, regions, etc. Because it requires very few
assumptions, DEA has also opened up possibilities to be used in cases
which have been resistant to other approaches because of the complex
(often unknown) nature of the relations between the multiple inputs and
multiple outputs involved in DMUs.
As
pointed out in Cooper, Seiford and Tone (2000), DEA has also been used
to supply new insights into activities (and entities) that have
previously been evaluated by other methods. For instance, studies of
benchmarking practices with DEA have identified numerous sources of
inefficiency in some of the most profitable firms – firms that had
served as benchmarks by reference to this (profitability) criterion –
and this has provided a vehicle for identifying better benchmarks in
many applied studies. Because of these possibilities, DEA studies of the
efficiency of different legal organization forms such as "stock" vs.
"mutual" insurance companies have shown that previous studies have
fallen short in their attempts to evaluate the potentials of these
different forms of organizations. Similarly, the use of DEA has
suggested reconsideration of previous studies of the efficiency with
which
pre- and post-merger activities have been conducted in banks that were
studied by DEA.
If
we want to learn and gain more and more knowledge, we won't wait for it
but we have to grab the opportunity. I would like to suggest one
workshop that can help you to gain knowledge in DEA and Panel Data,
which will be conducted by an experienced speaker and you will not
regret it.
The workshop details are as stated below:
Course Title: TWO DAY WORKSHOP ON DEA AND PANEL DATA
Date: 21 & 22 April 2014 (Monday & Tuesday)
Time: 8.30 am – 5.30 pm
Venue: MPWS Training Centre, Seksyen 7, Bandar Baru Bangi, SelangorDate: 21 & 22 April 2014 (Monday & Tuesday)
Time: 8.30 am – 5.30 pm
Speaker: Professor Dr. Fadzlan Sufian
Medium: English
More details : http://postgraduateworkshop.com/deapaneldata/
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