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On the approximation of production functions : a comparison of artificial neural networks frontiers and efficiency techniques
Santin, Daniel - In: Applied economics letters 15 (2008) 7/9, pp. 597-600
Persistent link: https://www.econbiz.de/10003741371
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Mathematical modelling of optimal tax trajectory within the framework of Cobb-Douglas model
Bannova, K. A.; Aktaev, N. E. - In: Applied economics letters 27 (2020) 17, pp. 1451-1457
Persistent link: https://www.econbiz.de/10012313947
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Aggregation bias in stochastic frontier models employing region-level data : an empirical analysis with Korean manufacturing data
Oh, Hyungna - In: Applied economics letters 19 (2012) 7/9, pp. 813-821
Persistent link: https://www.econbiz.de/10009631848
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GMM estimation of panel data models with time-varying slope coefficients
Sato, Yoshihiro; Söderbom, Måns - In: Applied economics letters 24 (2017) 21, pp. 1511-1518
Persistent link: https://www.econbiz.de/10011853443
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Threshold quantile regression neural network
Yang, Lixiong; Bai, Hujie; Ren, Mingjian - In: Applied economics letters 31 (2024) 17, pp. 1675-1685
Persistent link: https://www.econbiz.de/10015075590
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An application of the residual deviance analysis in testing input separability restrictions
Haghiri, Morteza; Simchi, Alireza - In: Applied economics letters 12 (2005) 12, pp. 755-758
Persistent link: https://www.econbiz.de/10003158146
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A semiparametric estimator of the Zellner production function for corn : fitting the univariate primal
Moss, Charles B.; Schmitz, Troy G. - In: Applied economics letters 13 (2006) 13, pp. 863-867
Persistent link: https://www.econbiz.de/10003385718
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Power of significance test of dummy variables in two-stage efficiency analysis model
Zelenyuk, Valentin - In: Applied economics letters 16 (2009) 13/15, pp. 1493-1495
Persistent link: https://www.econbiz.de/10003894919
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Bayesian hierarchical estimation of technical efficiency in a fishery
Tomberlin, David; Holloway, Garth John - In: Applied economics letters 17 (2010) 1/3, pp. 201-204
Persistent link: https://www.econbiz.de/10003946348
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Combination forecasts of tourism demand with machine learning models
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Applied economics letters 23 (2016) 4/6, pp. 428-431
Persistent link: https://www.econbiz.de/10011430763