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...

This study aims to evaluate the link between economic growth and consumer price index (CPI) in Japan for the period of 1980-2014. Initial series were adjusted for stationarity using the Augmented Dickey- Fuller (ADF) test for unit root followed by the application of Johansen Co-integration Test in order to examine the long-run relationship among the variables, while the causalities were evaluat...

Granger’s (1969) popular concept of causality, based on work by Weiner (1956), is typically defined in terms of predictability for one period ahead. Recently, Dufour and Renault (1998) generalized the concept to causality at a given horizon h, and causality up to horizon h, where h is a positive integer that can be infinite (1≤h<∞); see also Sims (1980), Hsiao (1982) and Lütkepohl (1993a) for r...

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 in this paper, we examine relationship between financial intermediary development variables and values added of agricultural sector in iran during 1352 to 1385. the five indices derived from the banking system as a financial intermediary development indicators, that define in related to the agricultural sector, and with the introduction of statistic methods of factor analysis and its a...

We address a consistency problem in the commonly used nonparametric test for Granger causality developed by Hiemstra and Jones (1994). We show that the relationship tested is not implied by the null hypothesis of Granger non-causality. Monte Carlo simulations using processes satisfying the null hypothesis show that, for a given nominal size, the actual rejection rate may tend to one as the samp...

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...

A time series is said to Granger cause another series if it has incremental predictive power when forecasting it. While Granger causality tests have been studied extensively in the univariate setting, much less is known for the multivariate case. In this paper we propose multivariate out-of-sample tests for Granger causality. The performance of the out-of-sample tests is measured by a simulatio...