Steel Augmented Production Function: Robust Analysis for European Union
This study contributes to the empirical literature on augmented neo-classical production function. It is done by introducing steel production into macro-production function of the European Union. The data is collected from the World Development Indicators and the World Steel Association from the per...
Ausführliche Beschreibung
Autor*in: |
Bilal Mehmood [verfasserIn] Muhammad Aleem [verfasserIn] Marwah Rafaqat [verfasserIn] |
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E-Artikel |
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Englisch |
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2017 |
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Übergeordnetes Werk: |
In: Statistika: Statistics and Economy Journal - Czech Statistical Office, 2013, 97(2017), 1, Seite 89-103 |
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Übergeordnetes Werk: |
volume:97 ; year:2017 ; number:1 ; pages:89-103 |
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Katalog-ID: |
DOAJ001156683 |
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(DE-627)DOAJ001156683 (DE-599)DOAJc8d9a6152ed148919e20c647157b35b0 DE-627 ger DE-627 rakwb eng HA1-4737 Bilal Mehmood verfasserin aut Steel Augmented Production Function: Robust Analysis for European Union 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study contributes to the empirical literature on augmented neo-classical production function. It is done by introducing steel production into macro-production function of the European Union. The data is collected from the World Development Indicators and the World Steel Association from the period of 1980–2014. We apply second generations of unit root tests to examine stationarity and panel cointegration with cross-sectional dependence to analyze long run relationship between national income and steel production. Robustness of tests is also reached by using 23 estimators and country specific slopes. Whereas, to detect the cause and effect, Granger and Dumitrescu-Hurlin causality tests are applied. Uni-directional causality from national income to steel production is found. Recommendations are made on the basis of empirical results. Steel production national income augmented mean group panel causality Statistics Muhammad Aleem verfasserin aut Marwah Rafaqat verfasserin aut In Statistika: Statistics and Economy Journal Czech Statistical Office, 2013 97(2017), 1, Seite 89-103 (DE-627)668005114 (DE-600)2627345-7 18048765 nnns volume:97 year:2017 number:1 pages:89-103 https://doaj.org/article/c8d9a6152ed148919e20c647157b35b0 kostenfrei https://www.czso.cz/documents/10180/45606527/32019717q1089.pdf/3bfdad77-3360-4b01-91fe-60cd62407b32?version=1.0 kostenfrei https://doaj.org/toc/0322-788X Journal toc kostenfrei https://doaj.org/toc/1804-8765 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2086 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 97 2017 1 89-103 |
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(DE-627)DOAJ001156683 (DE-599)DOAJc8d9a6152ed148919e20c647157b35b0 DE-627 ger DE-627 rakwb eng HA1-4737 Bilal Mehmood verfasserin aut Steel Augmented Production Function: Robust Analysis for European Union 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study contributes to the empirical literature on augmented neo-classical production function. It is done by introducing steel production into macro-production function of the European Union. The data is collected from the World Development Indicators and the World Steel Association from the period of 1980–2014. We apply second generations of unit root tests to examine stationarity and panel cointegration with cross-sectional dependence to analyze long run relationship between national income and steel production. Robustness of tests is also reached by using 23 estimators and country specific slopes. Whereas, to detect the cause and effect, Granger and Dumitrescu-Hurlin causality tests are applied. Uni-directional causality from national income to steel production is found. Recommendations are made on the basis of empirical results. Steel production national income augmented mean group panel causality Statistics Muhammad Aleem verfasserin aut Marwah Rafaqat verfasserin aut In Statistika: Statistics and Economy Journal Czech Statistical Office, 2013 97(2017), 1, Seite 89-103 (DE-627)668005114 (DE-600)2627345-7 18048765 nnns volume:97 year:2017 number:1 pages:89-103 https://doaj.org/article/c8d9a6152ed148919e20c647157b35b0 kostenfrei https://www.czso.cz/documents/10180/45606527/32019717q1089.pdf/3bfdad77-3360-4b01-91fe-60cd62407b32?version=1.0 kostenfrei https://doaj.org/toc/0322-788X Journal toc kostenfrei https://doaj.org/toc/1804-8765 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2086 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 97 2017 1 89-103 |
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(DE-627)DOAJ001156683 (DE-599)DOAJc8d9a6152ed148919e20c647157b35b0 DE-627 ger DE-627 rakwb eng HA1-4737 Bilal Mehmood verfasserin aut Steel Augmented Production Function: Robust Analysis for European Union 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study contributes to the empirical literature on augmented neo-classical production function. It is done by introducing steel production into macro-production function of the European Union. The data is collected from the World Development Indicators and the World Steel Association from the period of 1980–2014. We apply second generations of unit root tests to examine stationarity and panel cointegration with cross-sectional dependence to analyze long run relationship between national income and steel production. Robustness of tests is also reached by using 23 estimators and country specific slopes. Whereas, to detect the cause and effect, Granger and Dumitrescu-Hurlin causality tests are applied. Uni-directional causality from national income to steel production is found. Recommendations are made on the basis of empirical results. Steel production national income augmented mean group panel causality Statistics Muhammad Aleem verfasserin aut Marwah Rafaqat verfasserin aut In Statistika: Statistics and Economy Journal Czech Statistical Office, 2013 97(2017), 1, Seite 89-103 (DE-627)668005114 (DE-600)2627345-7 18048765 nnns volume:97 year:2017 number:1 pages:89-103 https://doaj.org/article/c8d9a6152ed148919e20c647157b35b0 kostenfrei https://www.czso.cz/documents/10180/45606527/32019717q1089.pdf/3bfdad77-3360-4b01-91fe-60cd62407b32?version=1.0 kostenfrei https://doaj.org/toc/0322-788X Journal toc kostenfrei https://doaj.org/toc/1804-8765 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2086 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 97 2017 1 89-103 |
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(DE-627)DOAJ001156683 (DE-599)DOAJc8d9a6152ed148919e20c647157b35b0 DE-627 ger DE-627 rakwb eng HA1-4737 Bilal Mehmood verfasserin aut Steel Augmented Production Function: Robust Analysis for European Union 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This study contributes to the empirical literature on augmented neo-classical production function. It is done by introducing steel production into macro-production function of the European Union. The data is collected from the World Development Indicators and the World Steel Association from the period of 1980–2014. We apply second generations of unit root tests to examine stationarity and panel cointegration with cross-sectional dependence to analyze long run relationship between national income and steel production. Robustness of tests is also reached by using 23 estimators and country specific slopes. Whereas, to detect the cause and effect, Granger and Dumitrescu-Hurlin causality tests are applied. Uni-directional causality from national income to steel production is found. Recommendations are made on the basis of empirical results. Steel production national income augmented mean group panel causality Statistics Muhammad Aleem verfasserin aut Marwah Rafaqat verfasserin aut In Statistika: Statistics and Economy Journal Czech Statistical Office, 2013 97(2017), 1, Seite 89-103 (DE-627)668005114 (DE-600)2627345-7 18048765 nnns volume:97 year:2017 number:1 pages:89-103 https://doaj.org/article/c8d9a6152ed148919e20c647157b35b0 kostenfrei https://www.czso.cz/documents/10180/45606527/32019717q1089.pdf/3bfdad77-3360-4b01-91fe-60cd62407b32?version=1.0 kostenfrei https://doaj.org/toc/0322-788X Journal toc kostenfrei https://doaj.org/toc/1804-8765 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2086 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 97 2017 1 89-103 |
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This study contributes to the empirical literature on augmented neo-classical production function. It is done by introducing steel production into macro-production function of the European Union. The data is collected from the World Development Indicators and the World Steel Association from the period of 1980–2014. We apply second generations of unit root tests to examine stationarity and panel cointegration with cross-sectional dependence to analyze long run relationship between national income and steel production. Robustness of tests is also reached by using 23 estimators and country specific slopes. Whereas, to detect the cause and effect, Granger and Dumitrescu-Hurlin causality tests are applied. Uni-directional causality from national income to steel production is found. Recommendations are made on the basis of empirical results. |
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This study contributes to the empirical literature on augmented neo-classical production function. It is done by introducing steel production into macro-production function of the European Union. The data is collected from the World Development Indicators and the World Steel Association from the period of 1980–2014. We apply second generations of unit root tests to examine stationarity and panel cointegration with cross-sectional dependence to analyze long run relationship between national income and steel production. Robustness of tests is also reached by using 23 estimators and country specific slopes. Whereas, to detect the cause and effect, Granger and Dumitrescu-Hurlin causality tests are applied. Uni-directional causality from national income to steel production is found. Recommendations are made on the basis of empirical results. |
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This study contributes to the empirical literature on augmented neo-classical production function. It is done by introducing steel production into macro-production function of the European Union. The data is collected from the World Development Indicators and the World Steel Association from the period of 1980–2014. We apply second generations of unit root tests to examine stationarity and panel cointegration with cross-sectional dependence to analyze long run relationship between national income and steel production. Robustness of tests is also reached by using 23 estimators and country specific slopes. Whereas, to detect the cause and effect, Granger and Dumitrescu-Hurlin causality tests are applied. Uni-directional causality from national income to steel production is found. Recommendations are made on the basis of empirical results. |
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score |
7.3997183 |