A Bayesian Approach to Imposing Curvature on Distance Functions
By C. O'Donnell, Tim Coelli. 2005
281 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Transportation
View Paper: https://www.semanticscholar.org/paper/8db602ea06ebbaba6fc50ed8b4d47bcf8e508759
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In Economics and Econometrics
In Management Science and Operations Research
In Transportation
Citations in the corpus
- Imposing regional monotonicity on translog stochastic production frontiers with a simple three-step procedure (2009, methodology): “We show that the monotonicity property is particularly important for estimating the (relative) efficiencies of individual firms because otherwise a reasonable interpretation of the results is impossible (see also O’Donnell and Coelli 2005).”
- Ownership Forms Matter for Airport Efficiency: A Stochastic Frontier Investigation of Worldwide Airports (2008, unknown): “…analysis on stochastic frontier models include Atkinson and Dorfman (2005a, 2005b), Fernandez et al. (1997), Huang (2004), Kleit and Terrell (2001), Koop et al. (1995, 1997), Kumbhakar and Tsionas (2005), Lewis and Anderson (1999), McCauland (2008), O’Donnell and Coelli (2005), and Tsionas (2002).”
- Competition and efficiency: overseas students and technical efficiency in Australian and New Zealand universities (2009, unknown): “It is necessary to impose a number of constraints on the output distance function in order to ensure homogeneity of degree one in outputs, as well as symmetry (see O’Donnell and Coelli 2005 ).”
- Integrating spatial dependence into stochastic frontier analysis (2012, methodology): “the output distance function in outputs, equation (3) can be transformed into an estimable regression model by normalising the function by one of the outputs (Brümmer et al. 2006; Brümmer et al. 2002; Coelli and Perelman 1999; Coelli and Perelman 2000; Lovell et al. 1994; Orea 2002; O'Donnell and Co”