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Profit Efficiency, DEA, FDH and Big Data

Valentin Zelenyuk

No WP042018, CEPA Working Papers Series from University of Queensland, School of Economics

Abstract: The goal of this article is to outline a very simple way of estimating profit efficiency in the DEA and FDH frameworks, but avoiding the computational burden of linear programming. With this result it is possible to compute profit efficiency even when dimension of inputs and outputs are larger than the dimension of number of decision making units (firms, individuals, etc.), as is often the case in the `big data'.

New Economics Papers: this item is included in nep-big and nep-eff
Date: 2018-08
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