1986
DOI: 10.1111/j.1468-0084.1986.mp48003002.x
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Developments in the Study of Cointegrated Economic Variables

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Cited by 1,910 publications
(394 citation statements)
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References 18 publications
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“…Theory of co-integration gives a way to reconcile findings of non-stationarity with the possibility of testing relationship among the levels of economic variables (Granger, 1986). In this study, we employed system based reduced rank regression approach proposed by Johansen (1991Johansen ( , 1995 test which has the advantage that both estimation and hypothesis testing are performed in a unified framework (Engle & Granger, 1987).…”
Section: Analytical Frameworkmentioning
confidence: 99%
“…Theory of co-integration gives a way to reconcile findings of non-stationarity with the possibility of testing relationship among the levels of economic variables (Granger, 1986). In this study, we employed system based reduced rank regression approach proposed by Johansen (1991Johansen ( , 1995 test which has the advantage that both estimation and hypothesis testing are performed in a unified framework (Engle & Granger, 1987).…”
Section: Analytical Frameworkmentioning
confidence: 99%
“…In order to test the above hypotheses the usual Wald F-statistic test is utilized, wh ich has the following form: H 0 : PUB does not Granger cause RGDP, i.e., { 11 α , 12 α ,…… 1k α }= 0, if F c < critical value of F H 1 : PUB does Granger cause RGDP, i.e., { 11 α , 12 α ,…… 1k α }≠ 0, if F c > critical value of F and H 0 : RGDP does not Granger cause PUB, i.e., { 21 β , 22 β ,…. 2k β }= 0, if F c < critical value of F H 1 : RGDP does Granger cause PUB, i.e., X has a corresponding impact on current variable Y or whether the relation works in the opposite direction.…”
Section: Specification Of Modelmentioning
confidence: 99%
“…Causality between variables in time series multivariate analysis was initially investigated by Granger [11,14]. In general it provides richer information than the single or univariate equation model because several endogenous and exogenous variables could be tested simultaneously.…”
Section: Granger's Causalitymentioning
confidence: 99%
“…Further investigation of interest to the current study that utilizes the information given in Table 3(a) through Table 3(c) is to derive Granger's causality test. According to Rosilawati Amiruddin et al [10] the works of Granger [11], Hendry [12], Engle and Granger [6] and Johansen and Juselius [13] on the extension of cointegration technique had opened up new avenues for evidence of causalities in one and bi-directional which were once uncertain due to spurious regression results.…”
Section: Aquaculture Error Correction Modelmentioning
confidence: 99%