DEA /SFA Courses: Performance Measurement Using Data Envelopment Analysis (DEA) & Stochastic Frontier Analysis (SFA)

Course content delivered On-Line to accommodate multiple time zone.

Early registration fee: 1st November 2021

DEA Course:	SFA Course:
Dates: Thursday November 25, 2021 – 13.00 to 17.30 (UK time) Friday November 26, 2021 – 13.00 to 17.30 (UK time) Saturday November 27, 2021 – 13.00 to 17.30 (UK time) Presenters: Professor Emmanuel Thanassoulis & Professor Ali Emrouznejad	Dates: Monday November 29, 2021 – 13.00 to 17.30 (UK time) Tuesday November 30, 2021 – 13.00 to 17.30 (UK time) Wednesday December 1, 2021 – 13.00 to 17.30 (UK time) Presenters: Professor Emmanuel Thanassoulis & Dr Dimitris Giraleas

Places are limited and will be allocated by order of receipt of registration fees.

Deadline:
Deadline for registration: 15th November 2021
Early registration fee: Pay before 1st November 2021 to get 10% discount

Method of teaching:
Online – MS TEAM

DEA Course:

SFA Course:

The aim of this course is to enable participants to understand the fundamentals  of  Data Envelopment Analysis (DEA)  as a general purpose method for efficiency and productivity analysis in complex multi – output and multi- input contexts in the production of goods and services. The course will cover both the theory and the actual use of DEA. Sample real life and simulated contexts will be used. Apart from the classical DEA models under constant and variable returns to scale, the course will cover models for assessing productivity change over time, for incorporating value judgements in DEA, for target setting and for exploiting economies of scale etc..  (See the outline of course content below.) The course will use various areas of application drawn from the real life experience of the presenters and from the interests of the participants to illustrate approaches. The PIM DEA software  (www.deasoftware.co.uk) will be used for hands on sessions by participants.

The aim of this course is to introduce participants to the process of devising econometric/regression-based models that describe economic transformation processes (i.e. processes that produce goods or services) and on how to extract useful information from these models, especially relating to performance. The course will provide a practical introduction to theory, in order for the participants to understand the why behind the modelling process, followed by practical examples/case studies of how these processes can be used in real life. More specifically, the course will cover the basics of Economic Production theory (functions and estimation), deterministic methods for assessing efficiency (Corrected and Modified OLS), stochastic frontier analysis (MLE and Method of Moments) and panel data methods for efficiency and productivity analysis. There will be applications that demonstrate how these tools/techniques can be applied in practice, based on case studies drawn from consultancy projects. The applications will utilise the STATA statistical software package and the participants will receive the code used in the demonstrations directly (as a STATA .do file).

Best regards

Emmanuel Thanassoulis & Ali Emrouznejad