Replicate cointegration rank statistics using a 9 variable VAR(2)

Question

I am trying to replicate Tables 3 and 4 from the paper "A Long Run Structural Macroeconometric Model OF the UK" by Garratt et al (2003).

Using the Akaike criterion the authors decide to proceed with a VAR(2) model with unrestricted intercepts and restricted trend coefficients (this is option IV on the Eviews programme I reckon). The VAR consists of 9 variables, these are ($p_t^{oil}$, $e_t$, $r_t^*$, $r_t$, $\Delta Retail.price.index_t$, $y_t$, $p_t-p_t^*$, $h_t-y_t$, $y_t^*$) with $p_t^{oil}$ treated as an exogenous I(1) variable.

The authors found 5 and 2 cointegrating relationships using the Trace and Maximum Eigen Value tests respectively. They proceed assuming 5 cointegrating relationships. My findings suggest 4 cointegrating relationships for the former test and 1 for the latter. How can I replicate the author's findings?

The actual table 3 from Garratt et al. (2003) paper, my first step using Eviews and my conflicting results follow below.

Please find to this link my incomplete EViews Programme.

Answer 1

First of all, as hejseb already wrote, you have one lag too many in your specification, because Eviews --as it mentions in the dialog window-- refers to lags of "differenced endogenous" instead of the endogenous (levels) themselves. Correcting that should produce a match of the eigenvalue statistics (provided the exact same sample is used and the original table is actually correct).

If you also want to match the critical values, note that Eviews doesn't do it for exogenous variables (as is also mentioned in the spec window and in the output). The article uses critical values from: "Pesaran, M.H., Shin Y., Smith, R.J. (2000). Structural analysis of vector error correction models with exogenous I(1) variables. Journal of Econometrics 97:293-343.", at least it seems that way.