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CPS658 Sagaren P.
                                    The impact of mis-specification of the
                               deterministic components in the Co-integration
                                model: An application to the bivariate case on
                                 South African employment costs and gross
                                                   earnings
                                                 Sagaren Pillay
                                                 Statistics Finland

                  Abstract
                  This paper investigates the impact of different specifications of deterministic
                  compontens in the vector error correction model (VECM) form estimated with
                  Johansen’s multivariate maximum likelihood approach. Using time series for
                  employment  costs  and  gross  earnings  data  we  show  the  impact  of  the
                  misspecification  of  the  deterministic  components  of  the  estimated  Co-
                  integration model. The study suggests that great care must be exercised in
                  model  specification.  The  inclusion  or  exclusion  of  the  deterministic  trend
                  should be clearly justified to avoid misleading results.

                  Keywords
                  Deterministic; cointegration; trends

                  1.  Introduction
                      Johansen’s  (1988)  multivariate  maximum  likelihood  approach  to  Co-
                  integration  is  arguably  the  most  popular  approach  in  estimating  long-run
                  economic relationships. The main objective of Co-integration analysis is to
                  determine the Co-integration rank of the model. Many studies have focused
                  considerable attention on the modelling of economic relationship between
                  variables,  and  variables  to  include  in  the  model.  Johansen  (1995)  has
                  emphasized that the choice of the deterministic components of a model has
                  important implications for  the asymptotic distribution of the test statistics.
                  There  are  five  different  ways  that  the  deterministic  components  could  be
                  included  in  a  Johansen  Cointegration  model.  The  choice  of  deterministic
                  components  included  in  the  model  has  a  very  significant  influence  on  the
                  empirical results. It is therefore very important that, in actual application, the
                  modelling of the deterministic components of Co-integration models needs
                  to be carefully considered. Consider the Var(p) process without determinant
                  terms. Suppose all individual variables are I(1) or I(0)

                       =    + ⋯ +    +                                                         (1)
                                          −
                            1 −1
                                                  

                  The corresponding VECM may be written as

                              ∆ = Π −1  + ∆ −1  + ⋯  −1 ∆ −+1  +     (2)
                                                                         
                                 
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