1997
DOI: 10.1111/1468-0084.00065
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Monte Carlo Evidence on Cointegration and Causation

Abstract: The small sample performance of Granger causality tests under different model dimensions, degree of cointegration, direction of causality, and system stability are presented. Two tests based on maximum likelihood estimation of error‐correction models (LR and WALD) are compared to a Wald test based on multivariate least squares estimation of a modified VAR (MWALD). In large samples all test statistics perform well in terms of size and power. For smaller samples, the LR and WALD tests perform better than the MWA… Show more

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Cited by 380 publications
(224 citation statements)
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“…This test has an asymptotic χ 2 distribution when a VAR (k + d max, aX ) is estimated, where d max is the maximal order of integration suspected to occur in the system. Monte Carlo experiments presented by Zapata and Rambaldi (1997) provide evidence that the MWALD test has a comparable performance in size and power to the likelihood and WALD tests. Rambaldi and Doran (1996) proved that this method can use a seemingly unrelated regression (SUR) form.…”
Section: Methodologiesmentioning
confidence: 93%
“…This test has an asymptotic χ 2 distribution when a VAR (k + d max, aX ) is estimated, where d max is the maximal order of integration suspected to occur in the system. Monte Carlo experiments presented by Zapata and Rambaldi (1997) provide evidence that the MWALD test has a comparable performance in size and power to the likelihood and WALD tests. Rambaldi and Doran (1996) proved that this method can use a seemingly unrelated regression (SUR) form.…”
Section: Methodologiesmentioning
confidence: 93%
“…By utilising a VAR model it is possible to analyse the long term co-integrating relationship between the variables (Doyle 2001). A test for Granger causality is applied to the VAR model estimated as outlined by Tonda and Phillips (1993), Tonda and Yamamoto (1995) and Zapata and Rambaldi (1997).…”
Section: Estimating the Vector Autoregressive (Var) Model And Testingmentioning
confidence: 99%
“…5 For a complete description of these biases, refer to Fung and Shieh (2002). 6 The test has a comparable performance in size and power to the likelihood ratio (LR) and Wald tests (Zapata and Rambaldi, 1997 …”
Section: Methodsmentioning
confidence: 99%