international journal of research in computer application & management · 2014 · 22 citations · 27 references
Social SciencesBusiness EconomicsEconomicsCausal InferenceEconometricsEconomic DevelopmentCausal Effect EstimationCointegration AnalysisEconomic GrowthPanel Data AnalysisPanel Data MethodsTime Series EconometricsCausal HypothesesCausal LinkingCausalityGranger Causality AnalysisPanel Data Causal InferencePanel Data EstimationPanel Regression ModelsPanel Time Series Models
This paper will investigate the Granger causality between R&D cooperation and economic growth in 32 industrial and developing countries from 1970 to 2012. We use an innovative econometric method which is based on a panel test of the Granger non causality hypothesis. Using a new method to evaluate causality in a heterogeneous panel, we find that the causal relationship from R&D cooperation to economic growth is homogeneous among the panel. However, we find strong evidence of a heterogeneity of the causal relationship from economic growth to R&D cooperation in our sample. Results provide support for a robust causality relationship from economic growth to R&D cooperation. On the contrary, the non causality hypothesis from R&D cooperation to economic growth can’t be rejected in most of the cases. However, these results only imply that, if such a relationship exists, it can’t be easily identified in a simply bi-variate Granger causality test.
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Exploration and Exploitation in Organizational Learning
James G. March · Organization Science · 1991 · 21.4K citations
Testing for unit roots in heterogeneous panels
Kyung So Im, M. Hashem Pesaran, Yongcheol Shin · Journal of Econometrics · 2003 · 15K citations · Full text