Efficiency and Productivity: Malmquist and More
By R. Färe, Shawna Grosskopf, Dimitris Margaritis. 2008
179 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/e9a57d7bc571419177fc2d3bfaeddbf70af5a4cf
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In Economics and Econometrics
- Anne Vanhems
- Paul Wilson
- Léopold Simar
- Cinzia Daraio
- A. Koutsomanoli-Filippaki
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- Timo Kuosmanen
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Citations in the corpus
- Analyzing Firm Performance in the Insurance IndustryUsing Frontier Efficiency and Productivity Methods (2011, unknown): “Weiss (2) non-parametric approaches, most prominently data envelopment analysis (DEA), which utilizes linear programming techniques to estimate the frontier (e.g., Cooper et al. 2004; Färe et al. 2008; Thanassoulis et al. 2008).”
- Probabilistic characterization of directional distances and their robust versions (2012, background): “Recently directional distance functions have been introduced (see Chambers, Chung and Färe, 1998, Färe and Grosskopf, 2004, Färe et al., 2008) that generalize both input and output distance functions.”
- Hypothesis testing in nonparametric models of production using multiple sample splits (2020, background): “One can consider other measures as well, e.g., the hyperbolic measure introduced by Färe et al. (1985) or the directional measures proposed by Chambers et al. (1998), Färe and Grosskopf (2006) and Färe et al. (2008).”
- Performance and Merton-type default risk of listed banks in the EU: A panel VAR approach (2009, background): “Directional distance functions are natural performance measures while they also entail a flexible description of technology allowing banks to optimize 5 by seeking simultaneously the maximum expansion of outputs and contraction of inputs that is technologically feasible (Färe et al., 2007).”