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Estimating efficiency in a spatial autoregressive stochastic frontier model
Kutlu, Levent - In: Economics letters 163 (2018), pp. 155-157
Persistent link: https://www.econbiz.de/10011982998
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Quantile estimation of the stochastic frontier model
Jradi, Samah; Parmeter, Christopher F.; Ruggiero, John - In: Economics letters 182 (2019), pp. 15-18
Persistent link: https://www.econbiz.de/10012122414
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A constrained state space approach for estimating firm efficiency
Kutlu, Levent - In: Economics letters 152 (2017), pp. 54-56
Persistent link: https://www.econbiz.de/10011801140
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Reference technology sets, Free Disposal Hulls and productivity decompositions
Diewert, Walter E.; Fox, Kevin J. - In: Economics letters 122 (2014) 2, pp. 238-242
Persistent link: https://www.econbiz.de/10010395155
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Intrasectoral structural change and aggregate productivity development : robust stochastic nonparametric frontier function estimates
Krüger, Jens - In: Empirical economics : a journal of the Institute for … 46 (2014) 4, pp. 1545-1572
Persistent link: https://www.econbiz.de/10010357883
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The "wrong skewness" problem : moment constrained maximum likelihood estimation of the stochastic frontier model
Zhao, Shirong; Parmeter, Christopher F. - In: Economics letters 221 (2022), pp. 1-5
Persistent link: https://www.econbiz.de/10014229929
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Calculating efficiency for spatial autoregressive stochastic frontier model
Kutlu, Levent - In: Economics letters 225 (2023), pp. 1-3
Persistent link: https://www.econbiz.de/10014308483
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Estimating the bias in technical change : a nonparametric approach
Hampf, Benjamin; Krüger, Jens - In: Economics letters 157 (2017), pp. 88-91
Persistent link: https://www.econbiz.de/10011847320
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The global trends of total factor productivity : evidence from the nonparametric Malmquist index approach
Krüger, Jens - 2001
Persistent link: https://www.econbiz.de/10001557728