A Bayesian analysis of multiple-output production frontiers
By C. Fernández, Gary Koop, Mark F. J. Steel. 2000
81 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/714bd354f16abc39fa449ecd180f5804fd315b13
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- K. Balcombe
- R. Tiffin
- F. Areal
- C. O'Donnell
- William H. Greene
- Stephane Hess
- Massimo Filippini
- David A. Hensher
In Management Science and Operations Research
- K. Balcombe
- R. Tiffin
- F. Areal
- C. O'Donnell
- William H. Greene
- Massimo Filippini
- Federico Belotti
- Giuseppe Ilardi
Citations in the corpus
- Reconsidering heterogeneity in panel data estimators of the stochastic frontier model (2005, result): “Other studies of this industry, e.g., Berger and Mester (1997) and Fernandez et al. (2000) have found inefficiency levels consistent with those obtained here.”
- Integrating spatial dependence into stochastic frontier analysis (2012, methodology): “This prior is commonly used in literature (van Den Broeck et al. 1994; Koop et al. 1995; Fernández et al. 2000).”
- The Econometric Approach to Efficiency Analysis (2008, result): “Førsund (1992) did a similar analysis of Norwegian ferries.”
- Econometric estimation of distance functions and associated measures of productivity and efficiency change (2014, methodology): “This paper solves the problem using the Bayesian methodology of Fernandez et al. (2000). The methodology has previously been used to estimate multiple-input multiple-output directional distance functions by O'Donnell (2007). Bayesian estimation involves sampling from the joint posterior probability ”