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Bayesian comparison of production function-based and time-series GDP models
Osiewalski, Jacek; Wróblewska, Justyna; Makieła, Kamil - In: Empirical economics : a journal of the Institute for … 58 (2020) 3, pp. 1355-1380
Persistent link: https://www.econbiz.de/10012219593
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A Bayesian semiparametric approach to stochastic frontiers and productivity
Tsionas, Efthymios G.; Mallick, Sushanta Kumar - In: European journal of operational research : EJOR 274 (2019) 1, pp. 391-402
Persistent link: https://www.econbiz.de/10011990080
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On the estimation of total factor productivity : a novel Bayesian non-parametric approach
Tsionas, Efthymios G.; Polemis, Michael - In: European journal of operational research : EJOR 277 (2019) 3, pp. 886-902
Persistent link: https://www.econbiz.de/10012102208
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Measurement of total factor productivity : evidence from French construction firms
Kané, Abdoulaye - 2022
Persistent link: https://www.econbiz.de/10013263467
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Forecasting financial time series using model averaging
Ravazzolo, Francesco - 2007
Persistent link: https://www.econbiz.de/10003580042
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Sources of economic growth : an extensive growth accounting exercise
Senhadji-Semlali, Abdel - In: IMF staff papers 47 (2000) 1, pp. 129-157
Persistent link: https://www.econbiz.de/10001541494
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Sources of economic growth : an extensive growth accounting exercise
Senhadji-Semlali, Abdel - 1999
Persistent link: https://www.econbiz.de/10001399807
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Bridging the divide? : Bayesian artificial neural networks for frontier efficiency analysis
Tsionas, Efthymios G.; Parameter, Christopher F.; … - 2021
Persistent link: https://www.econbiz.de/10013256898
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Estimating the production function for the Brazilian industrial sector : a Bayesian panel VAR approach
Lima Filho, Roberto Ivo da Rocha - In: Cogent business & management 9 (2022) 1, pp. 1-16
gives the opportunity to analyse the industry sector's productivity by minimizing the problem of endogeneity and therefore …
Persistent link: https://www.econbiz.de/10014420394
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Quantile stochastic frontiers
Tsionas, Efthymios G. - In: European journal of operational research : EJOR 282 (2020) 3, pp. 1177-1184
Persistent link: https://www.econbiz.de/10012161889