You may need to increase the number of iterations in case you are having difficulty achieving convergence at the default settings.

Each step of the algorithm is guaranteed to increase the likelihood and the algorithm should eventually converge (though convergence may be to a local rather than a global optimum). EViews estimates the restricted b and a using the switching algorithm as described in Boswijk (1995).

The VEC Restrictions tab provides iteration control for the maximum number of iterations and the convergence criterion. when you impose restrictions on the adjustment coefficients but not on the cointegrating vector).Д®stimation of the restricted cointegrating vectors b and adjustment coefficients a generally involves an iterative process. Note that the restrictions can be binding even if they are not identifying, ( e.g. The LR statistic is reported if the degrees of freedom of the asymptotic x 2 distribution is positive. If the restrictions are binding, EViews will report the LR statistic to test the binding restrictions. Using Information Criteria as a Guide to Model Selection.Specifying a State Space Model in EViews.Estimating Quantile Regression in EViews.Forecasting with Nonlinear and PDL Specifications.Forecasting from Equations with Expressions.Forecasts with Lagged Dependent Variables.Limited Information Maximum Likelihood and K-Class Estimation.

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