The master Malmquist index measurement using DEA-based weighted average efficiency

Mohsen Afsharian, Mohammadreza Alirezaee and Peter Reichling

International Journal of Data Analysis Techniques and Strategies, 2012, vol. 4, issue 1, 21-42

Abstract: The Malmquist index, based on data envelopment analysis (DEA) models, is the prominent index for measuring the relative productivity change of decision-making units (DMUs) in multiple time periods. This study presents new insight into the Malmquist index for measuring the productivity change of a master unit (master-DMU) that encompasses a set of units, its sub-DMUs, in multiple time periods. This is achieved by providing a framework for measuring productivity changes at the master level for the master-DMU regarding productivity changes at the sub-level for all sub-DMUs. The suggested index is illustrated by means of a real-world example from banking.

Keywords: Malmquist DEA; data envelopment analysis; Sten Malmquist; productivity index; master Malmquist index; MMI; weighted average efficiency; relative change; productivity changes; DMU; decision making unit; multiple time periods; master unit; sub-levels; banking; central banks; Iran; data analysis techniques; data analysis strategies. (search for similar items in EconPapers)
Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:ids:injdan:v:4:y:2012:i:1:p:21-42

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