BACKGROUND Granger causality is well established within the neurosciences for inference of directed functional connectivity from neurophysiological data. These data usually consist of time series which subsample a continuous-time biophysiological process. While it is well known that subsampling can lead to imputation of spurious causal connections where none exist, less is known about the effec...

this study attempts to investigate the effect of oil returns and external debt on the government expenditure in syria over the period 1970-2010. the johansen cointegration test showed that oil returns and external debt have a positive and significant long run relationship with government expenditure. the granger causality test indicates unidirectional short-run causality relationships running f...

Empirical studies often use Freedom House ratings for Political Rights and/or Civil Liberties as institutional proxies for the degree of democracy. In this study, Granger-causality tests are used which reveal that Political Rights tend to precede Civil Liberties, but not the reverse, in a panel data set of former Soviet Republics. For transition nations, Freedom House also publishes a separate ...

Despite the increasing number of bug analysis tools for exploring bugs in software systems, there are no tools supporting the investigation of causality relationships between internal quality metrics and bugs. In this paper, we propose an extension of the BugMaps tool called BugMaps-Granger that allows the analysis of source code properties that caused bugs. For this purpose, we relied on Grang...

a r t i c l e i n f o JEL classification: C23 E44 Q43 Keywords: Crude oil shocks Stock market prices Panel data Asymmetric adjustment Granger causality This paper proposes a panel threshold cointegration approach to investigate the relationship between crude oil shocks and stock markets for the OECD and non-OECD panel from January 1995 to December 2009. Nonlinear cointegration is confirmed for ...

Identifying causal relations among simultaneously acquired signals is an important challenging task in time series analysis. The original definition of Granger causality was based on linear models, its application to nonlinear systems may not be appropriate. We consider an extension of Granger causality to nonlinear bivariate time series with the universal approximation capacity in reproducing ...

Canonical-correlation analysis as a multivariate statistical technique has been applied to multivariate Granger causality analysis to infer information flow in complex systems. It shows unique appeal and great superiority over the traditional vector autoregressive method, due to the simplified procedure that detects causal interaction between multiple time series, and the avoidance of potential...

This paper tries to examine the Granger causality between electricity consumption per capita and Gross Domestic Product (GDP) per capita for India using annual data covering the period 1950–51 to 1996–97. Phillips–Perron tests reveal that both the series, after logarithmic transformation, are non-stationary and individually integrated of order one. This study finds the absence of long-run equil...

This paper examines empirically the causal relationship among the degree of openness of the economy, financial development and economic growth by using a multivariate autoregressive VAR model in Greece for the examined period 1960:Ι – 2000:IV. The results of cointegration analysis suggest that there is one cointegrated vector among GDP, financial development and the degree of openness of the ec...