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...

We relate notions of structural causality and conditional exogeneity as de…ned in White and Chalak (2006) (WC) to the concept of Granger causality. We show that given conditional exogeneity, structural non-causality implies retrospective Granger non-causality, an extension of the classical Granger (1969) non-causality condition. We also provide a form of converse to this result and tests for re...

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...

As one of the most successful approaches to uncover complex network structures from experimental data, Granger causality has been widely applied to various reverse engineering problems. This chapter first reviews some current developments of Granger causality and then presents the graphical user interface (GUI) to facilitate the application. To make Granger causality more computationally feasib...

the relationship between economic growth and developments in the ‎financial sector has been one of the most discussed areas in economics ‎for a long time; and the direction of causality – whether financial ‎development causes economic growth or vice versa – is by no means a ‎settled issue.‎this paper investigates the short- run and long-run granger causality ‎between financial development and e...

Identifying causal relations among simultaneously acquired signals is an important problem in multivariate time series analysis. For linear stochastic systems Granger proposed a simple procedure called the Granger causality to detect such relations. In this work we consider nonlinear extensions of Granger’s idea and refer to the result as Extended Granger Causality. A simple approach implementi...

Most of the signals recorded in experiments are inevitably contaminated by measurement noise. Hence, it is important to understand the effect of such noise on estimating causal relations between such signals. A primary tool for estimating causality is Granger causality. Granger causality can be computed by modeling the signal using a bivariate autoregressive (AR) process. In this paper, we grea...