The StoNED age: The Departure Into a New Era of Efficiency Analysis? A MC Study Comparing StoNED and the "Oldies" (SFA and DEA)
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- Mark Andor & Frederik Hesse, "undated". "The StoNED age: The Departure Into a New Era of Efficiency Analysis? An MC study Comparing StoNED and the "Oldies" (SFA and DEA)," Working Papers 201285, Institute of Spatial and Housing Economics, Munster Universitary.
- Andor, Mark & Hesse, Frederik, 2012. "The StoNED age: The departure into a new era of efficiency analysis? An MC study comparing StoNED and the "oldies" (SFA and DEA)," CAWM Discussion Papers 60, University of Münster, Münster Center for Economic Policy (MEP).
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- Mark Andor & Christopher Parmeter, 2017.
"Pseudolikelihood estimation of the stochastic frontier model,"
Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
- Andor, Mark & Parmeter, Christopher, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Ruhr Economic Papers 693, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
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More about this item
JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-EFF-2014-02-02 (Efficiency and Productivity)
- NEP-ORE-2014-02-02 (Operations Research)
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