DEA and Panel Data

What is DEA and PANEL DATA ?

In a Sloan Management Review article by Sherman and Zhu (June 18,2014), DEA is described as a Balance Benchmarking that help organization test their assumptions about productivity. Often the result of balanced benchmarking will lead to a major rethinking of past assumptions. Panel Data, also called longitudinal data or cross-sectional time series data, are data where multiple cases(people,firms,countriesetc) were observed at two or more time periods. Plus, it provides multiple observations on each individual in the sample. (Hsiao,2003, page 2).

Objective

To provide the proper guidance in Economics/Finance to researcher or others

Why you should join us?

Speaker • Knowledgeable and expertise in banking/financial performance analysis using DEAP,E-Views, and STATA software packages. • Knowledgeable and expertise in master and PhD Thesis Writing. • among the top young economists in the world and ranked among the top 10% economists in Asia. • His works have been cited in more than 890 journals and working paper (source:Google Scholar) Content • help researcher/organization teste their assumptions about productivity • learn DEA based Test (i.e, t-test,Mann-Whitney-U test, Kruskall-Wallis test) • learn Panel Regression using DEA Scores and etc. Price • affordable with worthwhile content from speaker for 2 days.

Outcomes

° Rise the knowledge and skill in Data Envelopment Analysis and Panel Data ° Create the good and quality of research writing. ° Might have the good assumption of productivity/business.

Who should attend?

Academicians,Researcher,Postgraduate candidates for Master and PhD, Economist/Finance, or people who want to increase their knowledge. Come join us! Register now!!! Date » 23 & 24 September 2014 (Tuesday & Wednesday) Time » 8.30 a.m. - 5.30 p.m. Venue » MPWS Training Centre, 63-1, 63-2, Jalan Kajang Impian 1/11, Taman Kajang Impian, Seksyen 7, 43650 Bandar Baru Bangi, Selangor # map Speaker » Professor Dr. Fadzlan Sufian Registration Fee » RM300 (early bird) / RM400 (normal rate) Medium » English Website » http://postgraduateworkshop.com/deapaneldata

TWO DAY WORKSHOP ON DEA AND PANEL DATA ( 21&22 April 2014)

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, Selangor
Speaker: Professor Dr. Fadzlan Sufian
Medium: English
More details : http://postgraduateworkshop.com/deapaneldata/