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subject:"Production function"
type_genre:"Article in journal"
~person:"Johnson, Andrew L."
~subject:"Stochastischer Prozess"
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Production function
Stochastischer Prozess
Estimation theory
8
Schätztheorie
8
Nichtparametrisches Verfahren
6
Nonparametric statistics
6
Produktionsfunktion
6
Regression analysis
3
Regressionsanalyse
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Technical efficiency
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Technische Effizienz
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Data envelopment analysis
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Data-Envelopment-Analyse
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Frontier estimation
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Mathematical programming
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Mathematische Optimierung
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Multivariate convex regression
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Production theory
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Johnson, Andrew L.
Tsionas, Efthymios G.
19
Kumbhakar, Subal
18
Simar, Léopold
14
Parmeter, Christopher F.
10
Tauchen, George Eugene
8
Todorov, Viktor
8
Horrace, William C.
6
Schmidt, Peter
6
Li, Jia
5
Ruggiero, John
5
Van Keilegom, Ingrid
5
Yao, Feng
5
Zelenyuk, Valentin
5
Cai, Jun
4
Florens, Jean-Pierre
4
Fu, Michael
4
Hurn, Stan
4
Kim, Donggyu
4
Kuosmanen, Timo
4
Lai, Hung-pin
4
Lucas, André
4
Martins-Filho, Carlos
4
McAleer, Michael
4
Park, Joon Y.
4
Phillips, Peter C. B.
4
Sun, Kai
4
Tran, Kien C.
4
Wang, Hung-jen
4
Wang, Yazhen
4
Zakoïan, Jean-Michel
4
Zhang, Zhimin
4
Amsler, Christine Elaine
3
Cui, Zhenyu
3
Fičura, Milan
3
Francq, Christian
3
Ghysels, Eric
3
Greene, William H.
3
Hadri, Kaddour
3
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European journal of operational research : EJOR
3
Energy economics
1
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
1
Journal of productivity analysis : an official journal of the International Society for Efficiency and Productivity Analysis
1
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ECONIS (ZBW)
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1
Shape-constrained kernel-weighted least squares : estimating production functions for Chilean manufacturing industries
Yagi, Daisuke
;
Chen, Yining
;
Johnson, Andrew L.
; …
- In:
Journal of business & economic statistics : JBES ; a …
38
(
2020
)
1
,
pp. 43-54
Persistent link: https://www.econbiz.de/10012179500
Saved in:
2
Insights from machine learning for evaluating production function estimators on manufacturing survey data
Preciado Arreola, José Luis
;
Yagi, Daisuke
;
Johnson, …
- In:
Journal of productivity analysis : an official journal …
53
(
2020
)
2
,
pp. 181-225
Persistent link: https://www.econbiz.de/10012228831
Saved in:
3
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
Saved in:
4
Modeling joint production of multiple outputs in StoNED : directional distance function approach
Kuosmanen, Timo
;
Johnson, Andrew L.
- In:
European journal of operational research : EJOR
262
(
2017
)
2
,
pp. 792-801
Persistent link: https://www.econbiz.de/10011798949
Saved in:
5
A nonparametric method to estimate a technical change effect on marginal abatement costs of US coal power plants
Mekaroonreung, Maethee
;
Johnson, Andrew L.
- In:
Energy economics
46
(
2014
),
pp. 45-55
Persistent link: https://www.econbiz.de/10011298614
Saved in:
6
Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis
Collier, Trevor
;
Johnson, Andrew L.
;
Ruggiero, John
- In:
European journal of operational research : EJOR
208
(
2011
)
2
,
pp. 153-160
Persistent link: https://www.econbiz.de/10008779598
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