نتایج جستجو برای: causality test
تعداد نتایج: 857553 فیلتر نتایج به سال:
In this research paper, attempt has been made to explore the relation especially the causal relation between stock market index i.e. BSE Sensex and three key macro economic variables of Indian economy by using correlation, unit root stationarity tests and Granger causality test. Monthly data has been used from April,1995 to March, 2009 for all the variables, like, BSE Sensex, wholesale price in...
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...
This paper employs the autoregressive distributed lag (ARDL) bounds methodological approach to investigate the relationship between economic growth, combustible renewables and waste consumption, carbon dioxide (CO2) emissions, and international tourism for the case of Tunisia spanning the period 1990-2010. The results from the Fisher statistic of both the Wald test and the Johansen test confirm...
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...
arthur schopenhauer, in four aspects root of the principle of sufficient reason, criticized kant’s interpretation of causality, which is written in the second analogy contained in the section of principles of pure understanding. these criticisms express themselves along three main axes. by considering these criticisms, this article seeks to defend kant’s account and to show that schopenhauer di...
Adopt co-integration and granger causality test for analyzing the influences of the deviation of three industrial structures on peasants’ income based on the model of industrial structure deviation with time sequences of peasants’ income and the deviation of three industrial structures in China Jiangxi. It’s found that there exists a long-term positive equilibrium relationship between the devia...
The purpose of this study was to empirically investigate the interactions between various taxes and GDP, and to detect whether taxes function as an automatic stabilizer in Turkey. Firstly, When using a time series unit-root test as proposed by Dickey-Fuller (1979), econometric findings revealed that taxes and level of GDP are not static. Secondly, upon employing cointegration designed by Johans...
T he main objective of this paper was the investigation of the impact of the trade openness on economic growth in Pakistan. We have been employed both the Johensen and Autoregressive Distributed Lag (ARDL) Co-integration together with ECM Techniques for the period 1975-2016. The empirical estimated results are the sound evidence that there exists a short...
The ability to perceive causality is a central human ability constructed from elemental spatial and temporal information present in the environment. Although the nature of causality has captivated philosophers and scientists since antiquity, the neural correlates of causality remain poorly understood. In the present study, we used functional magnetic resonance imaging (fMRI) to generate hypothe...
Linear and nonlinear causality between renewable energy consumption and economic growth in the USA*1
This study aims to investigate Granger causality between renewable energy consumption (REC) and economic growth (EG) for USA. To accomplish this objective and to add the stronger evidence to the controversial issue, the tests were done under a new framework that embeds wavelet analysis, a novel tool, in nonlinear causality test approaches developed recently. The classical linear causality test ...
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