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Directional output distance functions: endogenous directions based on exogenous normalization constraints

ScholarsArchive at Oregon State University

Field Value
Title Directional output distance functions: endogenous directions based on exogenous normalization constraints
Names Färe, Rolf (creator)
Grosskopf, S. (creator)
Whittaker, G. (creator)
Date Issued 2013-12 (iso8601)
Note To the best of our knowledge, one or more authors of this paper were federal employees when contributing to this work. This is the publisher’s final pdf. The published article is copyrighted by Springer and can be found at: http://link.springer.com/journal/11123.
Abstract In response to a question raised by Knox
Lovell, we develop a method for estimating directional
output distance functions with endogenously determined
direction vectors based on exogenous normalization constraints.
This is reminiscent of the Russell measure proposed
by Färe and Lovell (J Econ Theory 19:150–162,
1978). Moreover it is related to the slacks-based directional
distance function introduced by Färe and Grosskopf (Eur J
Oper Res 200:320–322, 2010a, Eur J Oper Res 206:702,
2010b). Here we show how to use the slacks-based function
to estimate the optimal directions.
Genre Article
Topic DEA
Identifier Färe, R., Grosskopf, S., & Whittaker, G. (2013). Directional output distance functions: endogenous directions based on exogenous normalization constraints. Journal of Productivity Analysis, 40(3), 267-269. doi:10.1007/s11123-012-0333-8

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