Quantitative characterization of interaction between processes from time series is often required in different fields of natural science including geophysics and biophysics. Typically, one estimates "short-term" influences, e.g., the widely used Granger causality is defined via one-step-ahead predictions. Such an approach does not reveal how strongly the "long-term" behavior of one process unde...

A persistent problem in developing plausible neurophysiological models of perception, cognition, and action is the difficulty of characterizing the interactions between different neural systems. Previous studies have approached this problem by estimating causal influences across brain areas activated during cognitive processing using structural equation modeling (SEM) and, more recently, with G...

Multi-electrode neurophysiological recordings produce massive quantities of data. Multivariate time series analysis provides the basic framework for analyzing the patterns of neural interactions in these data. It has long been recognized that neural interactions are directional. Being able to assess the directionality of neuronal interactions is thus a highly desired capability for understandin...

This study reexamines the causal link between electricity consumption, economic growth and CO2 emissions in the BRICS countries (i.e., Brazil, Russia, India, China, and South Africa) for the period 1990– 2010, using panel causality analysis, accounting for dependency and heterogeneity across countries. Regarding the electricity–GDP nexus, the empirical results support evidence on the feedback h...

This paper investigates the endogenous money supply hypothesis in Iran. To this end, we attempt to find causality directions between bank credits and money aggregates. Utilizing Diks and Panchenko’s (2006) nonparametric Granger causality test for the time series data over the period 2006:04-2018:12 confirms the existence of a significant causality running from bank credits to money aggregates. ...

In economic development, structural change among the three main sectors of an economy accompanies with aggregate economic growth. Nevertheless the question whether economic growth causes structural change or change in the economic structure causes aggregate growth is still unanswered. To shed some more light on this issue, this study examines a Grangercausality test in a panel environment to de...