نتایج جستجو برای: granger causality testjel classification
تعداد نتایج: 541186 فیلتر نتایج به سال:
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...
In this paper, we discuss the properties of mixed graphs which visualize causal relationships between the components of multivariate time series. In these Granger-causality graphs, the vertices, representing the components of the time series, are connected by arrows according to the Granger-causality relations between the variables whereas lines correspond to contemporaneous conditional associa...
.......................................................................................................................................... ii Acknowledgments.......................................................................................................................... iii List of Tables .....................................................................................................
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...
This article examines the relationships between government expenditures (current and capital) and private investment over the period of 1959- 2007 in Iran. To examine the long and short run relationships between model variables, the dynamic auto regression approach with distributed lag (ARDL) and the standard Granger causality relationship has been used. Findings indicate that based on long and...
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...
In this paper we develop a dynamic discrete-time bivariate probit model, in which the conditions for Granger non-causality can be represented and tested. The conditions for simultaneous independence are also worked out. The model is extended in order to allow for covariates, representing individual as well as time heterogeneity. The proposed model can be estimated by Maximum Likelihood. Granger...
The Impact of Human Capital on FDI with New Evidence from Bootstrap Panel Granger Causality Analysis
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...
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...
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