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...

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 world; though all the discussions are focused on the causal relationships in allthe scientific arguments. one of the methods to study the designed causal relationshipsobjectively is granger causality test. this paper aims to investigate the longtermcausal relationship between the stock price and dividends. the statisticalpopulation includes 180 active companies in stock exchange of tehran ...

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...

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...

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...

This study examines the Granger causality between electricity consumption and Gross Domestic Product (GDP) for Pakistan using annual data covering the period 1971 to 2007. Augmented Dickey-Fuller test and Phillips-Perron test reveal that both the series, after logarithmic transformation, are non-stationary and individually integrated at order one. Engle and Granger Cointegration test exhibits t...

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 ...

Detection and attribution methodologies have been developed over the years to delineate anthropogenic from natural drivers of climate change and impacts. A majority of prior attribution studies, which have used climate model simulations and observations or reanalysis datasets, have found evidence for human-induced climate change. This papers tests the hypothesis that Granger causality can be ex...

Causal inference among high-dimensional time series data proves an important research problem in many fields. While in the classical regime one often establishes causality among time series via a concept known as “Granger causality,” existing approaches for Granger causal inference in high-dimensional data lack the means to characterize the uncertainty associated with Granger causality estimate...