Aggregation of inputs and outputs prior to Data Envelopment Analysis under big data

Valentin Zelenyuk

European Journal of Operational Research, 2020, vol. 282, issue 1, 172-187

Abstract: The main goal of this paper is to explore the possible solutions to a ‘big data’ problem related to the very large dimensions of input–output data. In particular, we focus on the cases of severe ‘curse of dimensionality’ problem that require dimension-reduction prior to using Data Envelopment Analysis. To achieve this goal, we have presented some theoretical grounds and performed a new to the literature simulation study where we explored the price-based aggregation as a solution to address the problem of very large dimensions.

Keywords: Data Envelopment Analysis; Productivity; Efficiency; Big data (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (23)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:282:y:2020:i:1:p:172-187

DOI: 10.1016/j.ejor.2019.08.007

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