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Bridging the divide? : Bayesian artificial neural networks for frontier efficiency analysis
Tsionas, Efthymios G.; Parameter, Christopher F.; … - 2021
Persistent link: https://www.econbiz.de/10013256898
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Further results on estimating inefficiency effects in stochastic frontier models
Tsionas, Efthymios G.; Mamatzakis, Emmanuel C. - In: European journal of operational research : EJOR 275 (2019) 3, pp. 1157-1164
Persistent link: https://www.econbiz.de/10011993677
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Approximations and inference for nonparametric production frontiers
Daraio, Cinzia; Simar, Léopold - 2022
Nonparametric methods have been widely used for assessing the performance of organizations in the private and public sector. The most popular ones are based on envelopment estimators, like the FDH or DEA estimators, that estimate the attainable sets and its efficient boundary by enveloping the...
Persistent link: https://www.econbiz.de/10013193298
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Estimating stochastic production frontiers : a one-stage multivariate semiparametric Bayesian concave regression method
Preciado Arreola, José Luis; Johnson, Andrew L.; Chen, … - In: European journal of operational research : EJOR 287 (2020) 2, pp. 699-711
Persistent link: https://www.econbiz.de/10012293942
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Three essays on econometrics
Kim, Myungsup - 2005
Persistent link: https://www.econbiz.de/10003905358
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Semiparametric estimation of stochastic production frontier models
Fan, Yanqin - In: Journal of business & economic statistics : JBES ; a … 14 (1996) 4, pp. 460-477
Persistent link: https://www.econbiz.de/10001209340
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Ageneral framework for frontier estimation with panel data
Kneip, Alois - 1995
Persistent link: https://www.econbiz.de/10000923352
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Frontier production functions
Greene, William H. - 1997
Persistent link: https://www.econbiz.de/10001328887
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A measure of production performance
Kokic, Philip; Chambers, Ray; Breckling, Jens; Beare, … - In: Journal of business & economic statistics : JBES ; a … 15 (1997) 4, pp. 445-451
Persistent link: https://www.econbiz.de/10001227101