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Boswijk, H. (1996). Testing identifiablility of cointegrating vectors Journal of Business and Economic Statistics, 14(2):153--160.

  • Journal
    Journal of Business and Economic Statistics
View publication

This article analyzes the identification and normalization of cointegrating vectors. Normalizing a cointegrating relation with respect to one of the relevant variables is with loss of generality; and restrictions that are supposed to identify a vector may fail to do so for particular parameter values. I propose to tackle both problems by testing whether particular rank conditions are violated. It is shown that Johansen and Juselius's class of likelihood ratio statistics for structural hypotheses in a cointegrated Gaussian vector autoregression may be used for this purpose. The tests are applied to a model of the demand for money in the United Kingdom.