Barnett et al. in 2009 proved that Granger causality and transfer entropy causality measure are equivalent for time series which have a Gaussian distribution. Granger causality test is linear, while transfer entropy a non-linear test. Many biological and physical mechanisms show to have non-Gaussian distributions. In this paper we investigate under which conditions on probability density distri...

This paper examines the causality between concentration in banking industry and economic growth by using data across 15 countries named in "Iran outlook in 2025", over the period 2004-2011. Our aim is to assess whether the economy grows more or less rapidly in areas where the banking sector is more concentrated. The topic is motivated by the fact that the causality between concentration in bank...

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...

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...

An early development in testing for causality (technically, Granger non-causality) in the conditional variance (or volatility) associated with financial returns was the portmanteau statistic for non-causality in the variance of Cheng and Ng (1996). A subsequent development was the Lagrange Multiplier (LM) test of non-causality in the conditional variance by Hafner and Herwartz (2006), who provi...

The traditional linear Granger test has been widely used to examine the linear causality among several time series in bivariate settings as well as multivariate settings. Hiemstra and Jones [19] develop a nonlinear Granger causality test in bivariate settings to investigate the nonlinear causality between stock prices and trading volume. This paper extends their work by developing a non-linear ...

T his study evaluates the causality relationship between human capital and foreign direct investment inflow in twenty-six OIC (the Organization of Islamic Cooperation) countries over the period 1970–2014. We employed the panel Granger non-causality testing approach of Kònya (2006) that is based on seemingly unrelated regression (SUR) systems, and Wald tests with country specific boot...

iran is one of the most concentrated areas of afghan migrants and refugees. most afghans dispersed throughout the country mixed with iranian households. the majority of afghan immigrants are typically unskilled and illegal workers. this study aims at investigating the nature of the causal relationship between afghan immigrants and two main labor market indicators, average wages and unemployment...