Issues on climate change have been recognized as serious challenges for regional sustainable development both at a global and local level. Given the background that most of the artificial carbon emissions are resulted from the energy consumption sector and the energy is also the key element resource for economic development, this paper investigated the relationship between CO2 emission, fossil ...

This study aims at investigating the nature of the causal relationship between immigration and two macroeconomic indicators, GDP per capita and unemployment, in Sweden using autoregressive distributed lag (ARDL) bounds testing procedure and Granger-causality within vector error correction model (VECM) based on annual data spanning the period between 1980 and 2004. Results of the ARDL bounds tes...

Granger-causality metrics have become increasingly popular tools to identify directed interactions between brain areas. However, it is known that additive noise can strongly affect Granger-causality metrics, which can lead to spurious conclusions about neuronal interactions. To solve this problem, previous studies have proposed the detection of Granger-causal directionality, i.e. the dominant G...

Granger causality analyses aim to reveal the direction of influence between brain areas by analyzing temporal precedence: if a signal change in area A consistently precedes a signal change in area B, then A Granger-causes B. fMRI-based Granger causality inferences are mediated by the hemodynamic response function which can vary across brain regions. This variability might induce a bias in Grang...

Abstract We propose a bootstrap test for unconditional and conditional Granger-causality spectra in the frequency domain. Our aims to detect if causality at particular is systematically different from zero. In particular, we consider stochastic process derived applying independently stationary original series. At each frequency, sample against distribution of median across frequencies estimated...

This paper aims to investigate the direction of causality between economic growth, energy consumption and trade openness in case of Iran for the period 1967–2012. We apply the newly developed combined cointegration test proposed by Bayer and Hanck (2013). Vector Error Correction Model (VECM) is applied to determine the direction of causality between these three variables. The result of Bayer-Ha...

This paper proposes a new nonparametric test for conditional independence, which is based on the comparison of Bernstein copula densities using the Hellinger distance. The test is easy to implement because it does not involve a weighting function in the test statistic, and it can be applied in general settings since there is no restriction on the dimension of the data. In fact, to apply the tes...

this paper examines the impact of government expenditure on the nigerian economy for the period 1983 - 2012. the government expenditure components used as the explanatory variables in the model are: expenditures on health, education, defense, agriculture and transportation and communication. the gross domestic product (gdp) was used as a parameter for measuring economic growth. in order to esta...