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A distribution-free stochastic frontier model with endogenous regressors
Kutlu, Levent - In: Economics letters 163 (2018), pp. 152-154
Persistent link: https://www.econbiz.de/10011982997
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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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Estimating technical efficiency in micro panels
Feng, Qu; Horrace, William C. - In: Economics letters 117 (2012) 3, pp. 730-733
Persistent link: https://www.econbiz.de/10009680743
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Smooth coefficient estimation of stochastic frontier models
Lopez Gomez, Daniel; Parmeter, Christopher F. - In: Economics letters 193 (2020), pp. 1-5
Persistent link: https://www.econbiz.de/10012509120
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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