1998
DOI: 10.1111/1467-9892.00091
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Error‐correction Mechanism Tests for Cointegration in a Single‐equation Framework

Abstract: Abstract. A new test is proposed for cointegration in a single equation framework where the regressors are weakly exogenous for the parameters of interest. The test is denoted as an error correction mechanism (ECM) test and is based upon the ordinary least squares coef®cient of the lagged dependent variable in an autoregressive distributed lag model augmented with leads of the regressors. The limit distributions of the standardized coef®cient and t ratio versions of the ECM tests are obtained and critical valu… Show more

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Cited by 1,733 publications
(1,105 citation statements)
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References 25 publications
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“…A rise in foreign demand by 1% generally implies a rise in export volumes in the range between 0.75 -0.8% and -according to a 5 Based on the standard t-distribution, the error correction coefficients are statistically significant. The critical values provided by Banerjee et al (1998) is less supportive to the prevalence of cointegration. As additional evidence, Johansen cointegration tests indicate one cointegration vector for each model, except for the model including relative export prices, where the Trace test indicates two cointegration relationships.…”
Section: Empirical Methodsology and Estimation Resultsmentioning
confidence: 86%
“…A rise in foreign demand by 1% generally implies a rise in export volumes in the range between 0.75 -0.8% and -according to a 5 Based on the standard t-distribution, the error correction coefficients are statistically significant. The critical values provided by Banerjee et al (1998) is less supportive to the prevalence of cointegration. As additional evidence, Johansen cointegration tests indicate one cointegration vector for each model, except for the model including relative export prices, where the Trace test indicates two cointegration relationships.…”
Section: Empirical Methodsology and Estimation Resultsmentioning
confidence: 86%
“…Shin et al (2014) used a similar bounds test of linear ARDL approach by Pesaran et al (2001) to determine the asymmetric cointegrating relationship. The cointegrating relationship can be tested by t-statistics of Banerjee et al (1998) and F-statistics of Pesaran et al (2001). The null hypothesis can be defined as η 0 =0 against alternative hypothesis η 0 <0 in the use of t-statistics approach.…”
Section: Econometric Methodsologymentioning
confidence: 99%
“…Following Pesaran et al (2001), two separate statistics are employed to 'bounds test' for the existence of a long-run relationship: an F-test for the joint significance of the coefficients of the lagged levels in Eq, (3.1) (so that, H 0 : a 1 = a 2 = 0), and a t-test for the null hypothesis H 0 : a 1 = 0 (see also Banerjee, Dolado & Mestre, 1998 (Pesaran et al, 2001). In addition, for long-run relations analysis, we have considered the general form of the conditional ARDL(p,q) model as follows:…”
Section: Data and Methodsologymentioning
confidence: 99%