COOPER-framework: A Unified Standard Process for Non-parametric Projects

A. Emrouznejad and Kristof De Witte

No 18, Working Papers from Top Institute for Evidence Based Education Research

Abstract: Practitioners assess performance of entities in increasingly large and complicated datasets. If non-parametric models, such as Data Envelopment Analysis, were ever considered as simple push-button technologies, this is impossible when many variables are available or when data have to be compiled from several sources. This paper introduces by the ‘COOPER-framework’ a comprehensive model for carrying out non-parametric projects. The framework consists of six interrelated phases: Concepts and objectives, On structuring data, Operational models, Performance comparison model, Evaluation, and Result and deployment. Each of the phases describes some necessary steps a researcher should examine for a well defined and repeatable analysis. The COOPER-framework provides for the novice analyst guidance, structure and advice for a sound non-parametric analysis. The more experienced analyst benefits from a check list such that important issues are not forgotten. In addition, by the use of a standardized framework non-parametric assessments will be more reliable, more repeatable, more manageable, faster and less costly.

Keywords: DEA; non-parametric efficiency; unified standard process; COOPER-framework. (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (14)

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