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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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Intra-sectoral structural change and aggregate productivity development : a robust stochastic nonparametric frontier function approach
Krüger, Jens (contributor) - 2008
This paper investigates the sources of total factor productivity growth in the German manufacturing sector, 1981-1998. Decomposition formulae for aggregate productivity growth are used to identify the effects of structural change and entry-exit on aggregate productivity growth. Documented is a...
Persistent link: https://www.econbiz.de/10003723101
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Generalized moments estimation for spatial panel data : Indonesian rice farming
Druska, Viliam; Horrace, William C. - In: American journal of agricultural economics 86 (2004) 1, pp. 185-198
Persistent link: https://www.econbiz.de/10001934934
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Explaining international productivity differences
Krüger, Jens - 1998
Persistent link: https://www.econbiz.de/10013283151
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Explaining international productivity differences
Krüger, Jens; Cantner, Uwe; Hanusch, Horst - 1998 - [Electronic ed.]
Persistent link: https://www.econbiz.de/10009781741
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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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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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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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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