Power modulations of oscillations in electro- and magnetoencephalographic (EEG/MEG) signals have been linked to a wide range of brain functions. To date, most of the evidence is obtained by correlating bandpower fluctuations to specific target variables such as reaction times or task ratings, while the causal links between oscillatory activity and behavior remain less clear. Here, we propose to...

In this paper an effort is made in order to investigate the nexus of dynamic interrelations between the general macroeconomic environment of Greek economy with a special reference to the real wages determination. For the causality analysis among real wages, consumer price index, labour productivity, unemployment rate and gross domestic product a multivariate autoregressive VAR model was used, c...

This paper introduces a kernel-based non-parametric inferential procedure to test for Granger causality in distribution. This test is a multivariate extension of the kernel-based Granger causality test in tail event introduced by Hong, Liu, and Wang (2009). The main advantage of this test is its ability to examine a large number of lags, with higher-order lags discounted. In addition, our test ...

This paper examines empirically the tourism impact on the long-run economic growth of Greece by using the causality analysis among real gross domestic product, real effective exchange rate and international tourism earnings. A multivariate autoregressive VAR model is applied for the examined period 1960:Ι – 2000:IV. The results of cointegration analysis suggested that there is one cointegrated ...

Measures of the direction and strength of the interdependence among time series from multivariate systems are evaluated based on their statistical significance and discrimination ability. The best-known measures estimating direct causal effects, both linear and nonlinear, are considered, i.e., conditional Granger causality index (CGCI), partial Granger causality index (PGCI), partial directed c...

this paper examines the causal relationship between energy use and real gdp for the period 1967-2002 in iran. the results of phillips- perron test indicate that the real gdp and the four categories of energy, i.e. coal, oil, gas, and hydroelectric energy are integrated of order one. besides, the johansen — juselius maximum likelihood co- integration tests imply the existence of granger causalit...

Multielectrode neurophysiological recording and high-resolution neuroimaging generate multivariate data that are the basis for understanding the patterns of neural interactions. How to extract directions of information flow in brain networks from these data remains a key challenge. Research over the last few years has identified Granger causality as a statistically principled technique to furni...

Granger causality is a useful concept for studying causal relations in networks. However, numerical problems occur when applying the corresponding methodology to high-dimensional time series showing co-movement, e.g. EEG recordings or economic data. In order to deal with these shortcomings, we propose a novel method for the causal analysis of such multivariate time series based on Granger causa...