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The Full Information Maximum Likelihood Procedure for Inference on Cointegration with Applications.
Next, full information maximum likelihood techniques are used to estimate values of the parameters which maximize the likelihood (probability) of observing the data.(7) These maximum likelihood methods make the parametric models more efficient than the nonparametric models, but the estimation of the parametric model is also more computationally burdensome.