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Quantile stochastic frontier models with endogeneity
Tsionas, Efthymios G.; Assaf, A. Georges; … - In: Economics letters 188 (2020), pp. 1-5
Persistent link: https://www.econbiz.de/10012227857
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A coherent approach to Bayesian Data Envelopment Analysis
Tsionas, Efthymios G. - In: European journal of operational research : EJOR 281 (2020) 2, pp. 439-448
Persistent link: https://www.econbiz.de/10012153692
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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
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Do maternal health problems influence child's worrying status? : evidence from British cohort study
Dai, Xianhua; Härdle, Wolfgang; Yu, Keming - 2014
's worrying status at different quantiles. In addition, applying stochastic search variable selection for maternal health problems …The influence of maternal health problems on child's worrying status is important in practice in terms of the … intervention of maternal health problems early for the influence on child's worrying status. Conventional methods apply symmetric …
Persistent link: https://www.econbiz.de/10010253468