Non - causality in VAR - ECM models with purely exogenous long - run paths *

نویسنده

  • Christophe Rault
چکیده

We propose a canonical representation of the long run matrix, which can constitute a basis for non-causality testing. This representation requires to determine a sub-matrix rank, which can be done using a test procedure, whose properties are analysed with Monte Carlo experiments.  2000 Elsevier Science S.A. All rights reserved.

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Non - causality in VAR - ECM models with purely exogeneous long - run paths *

We propose a canonical representation of the long run matrix, which can constitute a basis for non-causality testing. This representation requires to determine a sub-matrix rank, which can be done using a test procedure, whose properties are analysed with Monte-Carlo experiments.  2000 Elsevier Science S.A. All rights reserved.

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تاریخ انتشار 1999