Some aspects of causal relationships
By Clive W. J. Granger. 2003
218 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/85715ee070d59a567c636e9574648e299f40c753
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In Economics and Econometrics
- Emrah Koçak
- Muhammad Shahbaz
- Roula Inglesi-Lotz
- Faik Bilgili
- Umit Bulut
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- Ş. Nazlıoğlu
- Elena Dumitrescu
Citations in the corpus
- The impact of urbanization on energy intensity: Panel data evidence considering cross-sectional dependence and heterogeneity (2017, background): “Granger [72] remarks the null hypothesis that some variable causes another variable for all units in the panel is very strong.”
- Testing for Granger Non-causality in Heterogeneous Panels (2012, background): “, N1 (3) βi 6= 0 ∀i = N1 + 1, N1 + 2, .”
- Nuclear energy consumption and economic growth in OECD countries: Cross-sectionally dependent heterogeneous panel causality analysis (2011, methodology): “First of all, imposing the joint restriction for whole panel is a very strong null hypothesis (Granger, 2003).”
- The impact of government expenditure on economic growth: How sensitive to the level of development? (2010, unknown): “This is quite strong (Granger, 2003).”
- Does tourism development promote economic growth in transition countries? A panel data analysis (2013, background): “The causality from one variable to another, by imposing the joint restriction for the whole panel, is the strong null hypothesis (Granger, 2003).”
- Financial development and economic growth nexus in the MENA countries: Bootstrap panel granger causality analysis (2011, background): “As Granger (2003) points out, the causality from one variable to another variable by imposing the joint restriction for whole panel is the strong null hypothesis.”
- Renewable energy and growth: Evidence from heterogeneous panel of G7 countries using Granger causality (2015, background): “The causality from one variable to another variable by imposing the joint restriction for the whole panel is the strong null hypothesis [24].”