Efficiency measurement, multiple-output technologies and distance functions: with application to European Railways
By Tim Coelli, Sergio Perelman. 2000
210 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/3472aa4c92644a0080cbec0880b8932f4d06208c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- C. O'Donnell
- Derek Headey
- Luis R. Murillo-Zamorano
- Tim Coelli
- D. Rao
- Mohammad Alauddin
- Sergio Perelman
- Martin Eling
Citations in the corpus
- A Bayesian Approach to Imposing Curvature on Distance Functions (2005, methodology): “This stochastic frontier analysis (SFA) approach can also be used for distance function estimation – see Coelli and Perelman (1996).”
- Efficiency in the international insurance industry: A cross-country comparison (2010, background): “026 the 20-year-average of the yearly rates of total return of the country-specific MSCI stock market indices (all data were obtained from the Datastream database; see Cummins and Rubio-Misas (2006) for a comparable selection and a discussion on selection depending on the insurer’s capital structure”
- Technical efficiency of European railways: a distance function approach (2000, methodology): “The third input used is the total length of lines.11 For further detail on the construction of these data refer to Coelli and Perelman (1996).”
- On the econometric estimation of the distance function representation of a production technology (2000, methodology): “For example, see Coelli and Perelman (1996), Morrison-Paul, Johnston and Frengley (2000) and Wu (2000).”
- Hyperbolic Efficiency and Parametric Distance Functions: With Application to Spanish Savings Banks (2005, background): “Examples of recent studies using partially oriented (i.e., output or input) parametric distance functions are English et al. (1993), Lovell et al. (1994), Coelli and Perelman (1996, 2000) and Cuesta and Orea (2002).”
- Explaining agricultural productivity growth: an international perspective (2010, methodology): “These distance functions by definition are very general and provide a stochastic alternative to their computation using DEA (see Coelli and Perelman, 2000; and O’Donnell and Coelli, 2005).”
- Economic Efficiency and Frontier Techniques (2004, background): “Furthermore, as Coelli and Perelman (1996b) show, the choice of any particular orientation rarely has more than a minor influence upon the reported efficiency scores.”
- Market concentration, risk-taking, and bank performance: evidence from emerging economies (2013, background): “But after the normalization procedure, output ratios may be treated as exogenous (Coelli and Perelman, 1996).”