EViews.com

The Random Effects model assigns a separate component to every cross-sectional unit or time period. Since you estimated a two-way random effects model, your model includes a separate component for each cross-sectional unit as well as each time period. This random component is added to the intercept ...

As requested, this link contains information on the estimation and interpretation of IRFs (Impulse Responses) for both VAR and VECM: https://spureconomics.com/impulse-response-functions-after-var-and-vecm/ The interpretation is quite straightforward, although it does depend on how the IRFs are compu...

This means that your variables may be stationary (the cointegration test is at least reading them as stationary) because the Cointegration rank is equal to the number of variables. If the variables are stationary, there can't be any cointegration. Usually, cointegration exists in I(1) variables impl...