2016•International Journal of Data Envelopment AnalysisRequires access

Data Envelopment Analysis Models In The Presence Of Ratio Data and Non-Discretionary Factors

Azam Ahmadzadeh

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Abstract

The traditional data envelopment analysis (DEA) models for the observations containing ratio data as input or output may result incorrect efficiency scores. To overcome this shortcoming, a set of modified DEA models has been presented in this paper by taking into account the correct convexity of decision making units (DMUs) when a ratio variable is included in the assessment model.

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What this paper is about

The traditional data envelopment analysis (DEA) models for the observations containing ratio data as input or output may result incorrect efficiency scores. To overcome this shortcoming, a set of modified DEA models has been presented in this paper by taking into account the correct convexity of decision making units (DMUs) when a ratio variable is included in the assessment model.

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Available abstract

The traditional data envelopment analysis (DEA) models for the observations containing ratio data as input or output may result incorrect efficiency scores. To overcome this shortcoming, a set of modified DEA models has been presented in this paper by taking into account the correct convexity of decision making units (DMUs) when a ratio variable is included in the assessment model.

Key concepts: Data envelopment analysis, Convexity, Econometrics, Data set, Variable (mathematics), Set (abstract data type), Statistics, Computer science

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