Data Envelopment Analysis (DEA)

Raymund R. Abara


This paper will introduce to readers an alternative approach to efficiency analysis called Data Envelopment Analysis (DEA).  Because it is an advanced evaluation tool that incorporates both tangible and intangible attributes, DEA is now gaining popularity among economists, politicians, and all types of Decision-Makers (DM).

 After a brief discussion of the model, this paper will demonstrate via examples how DEA can be used in aiding Decision-Makers evaluate their constituents 

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