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Ferdi
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I've been using the Johansen Procedure to check and correct for cointegration in my model, by estimating a VECM instead of VAR. But now I want to estimate a new model, in which I expect the same cointegrated relationships, however, some of my variables are now stationary (because they are one of the former variables, split into growth and decay), is there a way to construct the Error Correction Term and insert it into my differenced data, and then estimate the VECM by ordinary VAR?

And what are the implications of ignoring cointegrated relationships and just estimating the VAR? Is my model subject to bias or inconsistency?

Thanks.

I've been using the Johansen Procedure to check and correct for cointegration in my model, by estimating a VECM instead of VAR. But now I want to estimate a new model, in which I expect the same cointegrated relationships, however, some of my variables are now stationary (because they are one of the former variables, split into growth and decay), is there a way to construct the Error Correction Term and insert it into my differenced data, and then estimate the VECM by ordinary VAR?

And what are the implications of ignoring cointegrated relationships and just estimating the VAR? Is my model subject to bias or inconsistency?

Thanks.

I've been using the Johansen Procedure to check and correct for cointegration in my model, by estimating a VECM instead of VAR. But now I want to estimate a new model, in which I expect the same cointegrated relationships, however, some of my variables are now stationary (because they are one of the former variables, split into growth and decay), is there a way to construct the Error Correction Term and insert it into my differenced data, and then estimate the VECM by ordinary VAR?

And what are the implications of ignoring cointegrated relationships and just estimating the VAR? Is my model subject to bias or inconsistency?

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fredrikhs
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fredrikhs
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Constructing a VECM with a mix of I(0) and I(1) variables

I've been using the Johansen Procedure to check and correct for cointegration in my model, by estimating a VECM instead of VAR. But now I want to estimate a new model, in which I expect the same cointegrated relationships, however, some of my variables are now stationary (because they are one of the former variables, split into growth and decay), is there a way to construct the Error Correction Term and insert it into my differenced data, and then estimate the VECM by ordinary VAR?

And what are the implications of ignoring cointegrated relationships and just estimating the VAR? Is my model subject to bias or inconsistency?

Thanks.