Granger causality tests
Granger Causality Tests with Mixed Data Frequencies
... on Granger causality ...test Granger causality in combining the data sampled at the different ...of Granger causality tests that take explicitly advantage of data sampled ...
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Application of Granger Causality Tests to Revenue and Expenditure of Swiss cantons
... This paper applies Granger causality tests to Swiss Cantonal Revenue and Expenditure in levels. It is the first study for Switzerland at the individual regional level and on the basis of vector error ...
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Price-Volume Granger Causality Tests in the Egyptian Stock Exchange (EGX)
... use Granger causality tests to examine the effects that some of these initiatives may have had on the information dissemination environment of the ...be Granger causality between stock ...
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Determinants of NEETs, using Granger Causality Tests: Applications to ECE and Arab Economies
... likely causality between NEETs and other economic, social and political variables in the countries of Central and East European economies (ECE) with a focus on the situation of Arab ...population. Granger ...
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The relationship between the F-test and the Schwarz criterion: Implications for Granger-causality tests
... In applied research, the Schwarz Bayesian Information Criterion (BIC) and the F-test might yield different inferences about the causal relationships being investigated. This paper examines the relationship between the ...
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Output growth and the variability of exports and imports growth: international evidence from Granger causality tests
... ROOT TESTS Whether economic time series have a unit root or not has important implications in empirical work, for estimation and hypothesis testing, both of which rely on as- ymptotic distribution ...the ...
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Based on the granger causality tests the research about the relation between the real economy and virtual economy in
... 2.3 Granger causality test Granger causality tests reveal the guide of relationship between variables, because of the two variables without unit root in this article , and thought ...
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BugMaps-Granger: a tool for visualizing and predicting bugs using Granger causality tests
... As future work, we intend to extend BugMaps-Granger with other internal software quality metrics, including metrics associated to violations in the static architecture of software systems, as revealed by the DCL ...
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Electricity consumption and GDP in an electricity community: Evidence from bound testing cointegration and Granger-causality tests
... be Granger causality in at least one direction, but it does not indicate the direction of temporal causality between the ...long-run Granger causality in this ...GDP Granger ...
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Electricity consumption and GDP in an electricity community: Evidence from bound testing cointegration and Granger causality tests
... short-run Granger causality running from GDP to electricity consumption for Benin and short-run Granger causality running from GDP to electricity consumption for ...the causality ...
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Multivariate out-of-sample tests for Granger causality.
... paper, Granger causality tests are carried out by means of an out-of-sample comparison of these two nested ...a Granger causality con- text. Granger causality questions ...
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Looking behind Granger causality
... by Granger causality ...multivariate Granger causalities from the underlying partial DAG of a ...for Granger causality provide a visual, concise and informative way to communicate the ...
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A review of the Granger-causality fallacy
... Least Squares Method, used to estimate the parameters of equation in most of Granger- causality tests, requires some conditions to be met to get reliable results. If nonlinearity occurs, data must be ...
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The Distortionary Effects Of Temporal Aggregation On Granger Causality
... the causality between economic growth and export growth, economic growth and external trade, and economic growth and financial ...The tests range from time series based Granger causality ...
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Christmas cards, Easter bunnies, and Granger-causality
... of Granger- causality in a bivariate framework is a necessary condition for direct causality, but it may well turn out to be ...to Granger-cause Y in a bivariate model is only the hypothesis ...
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Bayes multivariate signification tests and Granger causality
... The Granger causality test is reduced, after co-integration, to the test of the fact that some coefficients of linear regressions are equal to zero or ...Bayes tests for the signification of the ...
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Bayes multivariate signification tests and Granger causality
... The Granger causality test is reduced, after co-integration, to the test of the fact that some coefficients of linear regressions are equal to zero or ...Bayes tests for the signification of the ...
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Tests for Long-Run Granger Non-Causality in Cointegrated Systems
... The remainder of the paper is organized as follows. In section 2 we introduce the model and give the definitions of long-run Granger non-causality and long-run neutrality, and testable conditions for them. ...
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Granger causality revisited
... generating Granger causality ...which Granger causal measures would be used to characterise directed functional connectivity in a quantita- tive ...
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Guaranteed Stability of Autoregressive Models with Granger Causality Learned from Wald Tests
... a Granger causality (GC) through the zero structure of estimated AR coefficients, and to guarantee the estimated model ...about causality as the AR coefficient matrices are usually ...the Granger ...
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