Data Envelopment Analysis and Sequences in Hilbert Spaces

Rolf Färe () and Valentin Zelenyuk
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Rolf Färe: Department of Economics, Oregon State University and Department of Agricultural and Resource Economics, University of Maryland, USA

No WP132019, CEPA Working Papers Series from University of Queensland, School of Economics

Abstract: We introduce a new class of Data Envelopment Analysis modeling, which we call ‘sequential DEA’. This new approach allows for analyzing efficiency of the decision making units that consist of a sequence of sub-DMUs (e.g., branches of banks, hospital olding company running a number of hospitals at different locations, hotel chains, etc.). The approach is embedded in the Hilbert sequence space (ℓ²) and therefore it allows for potentially different numbers of the sub-DMUs as well as different numbers of inputsand outputs used by different decision making units. This approach opens up a new stream of literature in the sense that many existing variations from the already rich literature on Data Envelopment Analysis can be adapted to this approach.

Keywords: Data Envelopment Analysis; Efficiency. (search for similar items in EconPapers)
Date: 2019-12
New Economics Papers: this item is included in nep-eff
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Persistent link: https://EconPapers.repec.org/RePEc:qld:uqcepa:143

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