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Bayesian efficiency analysis through individual effects : hospital cost frontiers
Koop, Gary; Osiewalski, Jacek; Steel, Mark F. J. - 1995
Persistent link: https://www.econbiz.de/10000918207
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Hospital efficiency analysis through individual effects : a Bayesian approach
Koop, Gary; Osiewalski, Jacek; Steel, Mark F. J. - 1994
Persistent link: https://www.econbiz.de/10000889944
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Flexible mixture modelling of stochastic frontiers
Griffin, J. E.; Steel, Mark F. J. - In: Journal of productivity analysis 29 (2008) 1, pp. 33-50
Persistent link: https://www.econbiz.de/10003692373
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Cost efficiency analysis of electricity distribution sector under model uncertainty
Makieła, Kamil; Osiewalski, Jacek - In: The energy journal 39 (2018) 4, pp. 31-56
Persistent link: https://www.econbiz.de/10011895691
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Flexible mixture modelling of stochastic frontiers
Griffin, J.; Steel, M. - In: Journal of Productivity Analysis 29 (2008) 1, pp. 33-50
Persistent link: https://www.econbiz.de/10005711804
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Bayesian Stochastic Frontier Analysis Using WinBUGS
Griffin, Jim; Steel, Mark - EconWPA - 2005
Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods for Bayesian analysis of stochastic frontier models using the WinBUGS package, a freely available software. General code for cross-sectional and panel data are presented...
Persistent link: https://www.econbiz.de/10005062542
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Bayesian stochastic frontier analysis using WinBUGS
Griffin, Jim; Steel, Mark - In: Journal of Productivity Analysis 27 (2007) 3, pp. 163-176
Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods for Bayesian analysis of stochastic frontier models using the WinBUGS package, a freely available software. General code for cross-sectional and panel data are presented...
Persistent link: https://www.econbiz.de/10005678732