Project Results - Revision history

Monica.Pop at 10:23, 13 June 2013

2013-06-13T10:23:53Z

Monica.Pop at 10:23, 13 June 2013

2013-06-13T10:23:24Z

Monica.Pop at 07:44, 13 June 2013

2013-06-13T07:44:28Z

Monica.Pop: Created page with "The methodology that we apply is Granger causality for individual analyses for Romania and other emergent countries as Bulgaria, Czech, Estonia, Latvia, Lithuania, Hungary, Po..."

2013-06-11T17:34:47Z

Created page with "The methodology that we apply is Granger causality for individual analyses for Romania and other emergent countries as Bulgaria, Czech, Estonia, Latvia, Lithuania, Hungary, Po..."

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The methodology that we apply is Granger causality for individual analyses for Romania and other emergent countries as Bulgaria, Czech, Estonia, Latvia, Lithuania, Hungary, Poland, Slovak and Slovenia, during 1998-2008. For the whole panel, we employ dynamic panel estimation ( GMM estimator) which is robust in the presence of endogenous covariates, allowing for individual fixed effects, heteroskedasticity and autocorrelation. Interesting results are obtained for private R&D business as an enhancing factor of economic growth. Based on these results, some policy implications are drawn, in accordance with EU 2020 Strategy of intellingent economic growth.

← Older revision		Revision as of 10:23, 13 June 2013
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	The methodology that we apply is Granger causality for individual analyses for Romania and other emergent countries as Bulgaria, Czech, Estonia, Latvia, Lithuania, Hungary, Poland, Slovak and Slovenia, during 1998-2008. For the whole panel, we employ dynamic panel estimation ( GMM estimator) which is robust in the presence of endogenous covariates, allowing for individual fixed effects, heteroskedasticity and autocorrelation. Interesting results are obtained for private R&D business as an enhancing factor of economic growth. Based on these results, some policy implications are drawn, in accordance with EU 2020 Strategy of intelligent economic growth. When various robustness checks are applied ( sub-samples, sub-periods, averages), our results remain mainly the same.		The methodology that we apply is Granger causality for individual analyses for Romania and other emergent countries as Bulgaria, Czech, Estonia, Latvia, Lithuania, Hungary, Poland, Slovak and Slovenia, during 1998-2008. For the whole panel, we employ dynamic panel estimation ( GMM estimator) which is robust in the presence of endogenous covariates, allowing for individual fixed effects, heteroskedasticity and autocorrelation. Interesting results are obtained for private R&D business as an enhancing factor of economic growth. Based on these results, some policy implications are drawn, in accordance with EU 2020 Strategy of intelligent economic growth. When various robustness checks are applied ( sub-samples, sub-periods, averages), our results remain mainly the same.

−	In what concerns the role of institutions on economic growth, in a panel of emerging economies from other continents too ( America, Africa, Asia) besides some countries from CEE, results indicate a positive impact on economic growth, especially when variables that present monetary, financial and fiscal aspects ( from a qualitative point of view).	+	In what concerns the role of institutions on economic growth, in a panel of emerging economies from other continents too ( America, Africa, Asia) besides some countries from CEE, results indicate a positive impact on economic growth, especially when variables that present monetary, financial and fiscal aspects ( from a qualitative point of view) are included.

← Older revision		Revision as of 10:23, 13 June 2013
Line 1:		Line 1:
	The methodology that we apply is Granger causality for individual analyses for Romania and other emergent countries as Bulgaria, Czech, Estonia, Latvia, Lithuania, Hungary, Poland, Slovak and Slovenia, during 1998-2008. For the whole panel, we employ dynamic panel estimation ( GMM estimator) which is robust in the presence of endogenous covariates, allowing for individual fixed effects, heteroskedasticity and autocorrelation. Interesting results are obtained for private R&D business as an enhancing factor of economic growth. Based on these results, some policy implications are drawn, in accordance with EU 2020 Strategy of intelligent economic growth. When various robustness checks are applied ( sub-samples, sub-periods, averages), our results remain mainly the same.		The methodology that we apply is Granger causality for individual analyses for Romania and other emergent countries as Bulgaria, Czech, Estonia, Latvia, Lithuania, Hungary, Poland, Slovak and Slovenia, during 1998-2008. For the whole panel, we employ dynamic panel estimation ( GMM estimator) which is robust in the presence of endogenous covariates, allowing for individual fixed effects, heteroskedasticity and autocorrelation. Interesting results are obtained for private R&D business as an enhancing factor of economic growth. Based on these results, some policy implications are drawn, in accordance with EU 2020 Strategy of intelligent economic growth. When various robustness checks are applied ( sub-samples, sub-periods, averages), our results remain mainly the same.

−	In what concerns the role of ~~instiotutions~~ on economic growth, in a panel of emerging economies from other continents too ( America, Africa, Asia) besides some countries from CEE, results indicate a positive impact on economic growth, especially when variables that present monetary, financial and fiscal aspects ( from a qualitative point of view).	+	In what concerns the role of institutions on economic growth, in a panel of emerging economies from other continents too ( America, Africa, Asia) besides some countries from CEE, results indicate a positive impact on economic growth, especially when variables that present monetary, financial and fiscal aspects ( from a qualitative point of view).

← Older revision		Revision as of 07:44, 13 June 2013
Line 1:		Line 1:
−	The methodology that we apply is Granger causality for individual analyses for Romania and other emergent countries as Bulgaria, Czech, Estonia, Latvia, Lithuania, Hungary, Poland, Slovak and Slovenia, during 1998-2008. For the whole panel, we employ dynamic panel estimation ( GMM estimator) which is robust in the presence of endogenous covariates, allowing for individual fixed effects, heteroskedasticity and autocorrelation. Interesting results are obtained for private R&D business as an enhancing factor of economic growth. Based on these results, some policy implications are drawn, in accordance with EU 2020 Strategy of ~~intellingent~~ economic growth.	+	The methodology that we apply is Granger causality for individual analyses for Romania and other emergent countries as Bulgaria, Czech, Estonia, Latvia, Lithuania, Hungary, Poland, Slovak and Slovenia, during 1998-2008. For the whole panel, we employ dynamic panel estimation ( GMM estimator) which is robust in the presence of endogenous covariates, allowing for individual fixed effects, heteroskedasticity and autocorrelation. Interesting results are obtained for private R&D business as an enhancing factor of economic growth. Based on these results, some policy implications are drawn, in accordance with EU 2020 Strategy of intelligent economic growth. When various robustness checks are applied ( sub-samples, sub-periods, averages), our results remain mainly the same.
		+
		+	In what concerns the role of instiotutions on economic growth, in a panel of emerging economies from other continents too ( America, Africa, Asia) besides some countries from CEE, results indicate a positive impact on economic growth, especially when variables that present monetary, financial and fiscal aspects ( from a qualitative point of view).