Since the variables are stationary at first difference, then we can proceed with the
cointegration test as introduced by Johansen (1988) and Johansen and Juselius (1990).
The main purpose of this test is to investigate the existence of a long run association
among the variables which are integrated with same order. Table 7 indicates the
results of the cointegration test. The null hypothesis of non-cointegration (r=0) can be
rejected as both trace (λtrace) and max-Eigen (λmax) statistic values exceed the critical
values and significant at 1% level. Meanwhile, the null hypothesis of at most one
cointegration vector cannot be rejected. This indicates that existence of a single
cointegration vector in the model and implies a stable long run linear equilibrium
among the variables.