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The weighted additive distance function

Juan Aparicio, Jesus T. Pastor and Fernando Vidal Giménez

European Journal of Operational Research, 2016, vol. 254, issue 1, 338-346

Abstract: Distance functions in production theory are mathematical structures that characterize the belonging to the reference technology through a numerical value, behave as technical efficiency measures when the focus is analyzing an observed input–output vector within its production possibility set and present a dual relationship with some support function (profit, revenue, cost function). In this paper, we endow the well-known weighted additive models in Data Envelopment Analysis with a distance function structure, introducing the Weighted Additive Distance Function and showing its main properties.

Keywords: Data envelopment analysis; Distance functions; Weighted additive model; Profit function (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (22)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:254:y:2016:i:1:p:338-346

DOI: 10.1016/j.ejor.2016.04.006

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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