English, Article, Journal or magazine article edition: MONTE CARLO EVIDENCE ON COINTEGRATION AND CAUSATION Hector O. ZAPATA; Alicia N. RAMBALDI

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Bookmark: http://trove.nla.gov.au/version/143437
Physical Description
  • preprint
Language
  • English

Edition details

Title
  • MONTE CARLO EVIDENCE ON COINTEGRATION AND CAUSATION
Author
  • Hector O. ZAPATA
  • Alicia N. RAMBALDI
Physical Description
  • preprint
Notes
  • The small sample performance of Granger causality tests under different model dimensions, degree of c 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 MWALD test. Overall, the LR test outperforms the other two in terms of size and power in small samples.
  • Causality tests; Cointegration; Likelihood ratio; Wald statistic; Monte Carlo Experiments
  • RePEc:wop:lsuaep:9608
Language
  • English
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