Empirical tools to assess the sensitivity of directional distance functions to direction selection
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References listed on IDEAS
- Friesen, Jane, 1997.
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- Cinzia Daraio & Léopold Simar, 2016.
"Efficiency and benchmarking with directional distances: a data-driven approach,"
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Palgrave Macmillan;The OR Society, vol. 67(7), pages 928-944, July.
- Cinzia Daraio & Leopold Simar, 2014. "Efficiency and benchmarking with directional distances. A data driven approach," DIAG Technical Reports 2014-07, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
- Hampf, Benjamin & Krüger, Jens J., 2013.
"Optimal Directions for Directional Distance Functions: An Exploration of Potential Reductions of Greenhouse Gases,"
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- Hampf, Benjamin & Krüger, Jens J., 2013. "Optimal directions for directional distance functions: An exploration of potential reductions of greenhouse gases," Darmstadt Discussion Papers in Economics 216, Darmstadt University of Technology, Department of Law and Economics.
- repec:eee:ejores:v:262:y:2017:i:1:p:361-369 is not listed on IDEAS
- Ke Wang & Yujiao Xian & Yi-Ming Wei & Zhimin Huang, 2016. "Sources of carbon productivity change: A decomposition and disaggregation analysis based on global Luenberger productivity indicator and endogenous directional distance function," CEEP-BIT Working Papers 91, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
- Pedro Macedo & Elvira Silva, 2017. "Sensitivity of directional technical inefficiency measures to the choice of the direction vector: a simulation study," Economics Bulletin, AccessEcon, vol. 37(1), pages 52-62.
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