Page 207 - Contributed Paper Session (CPS) - Volume 8
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CPS2252 Zakaya R.
                                Table 6: Estimation of VECM model
                                               D(X)        D(HDI)        D(IQ)

                           CointEq1          -1.573054    -4.39E-05    -0.053147
                                              (0.09191)     (0.00029)     (0.02070)
                                             [-17.1157]    [-0.14945]    [-2.56806]

                            D(X(-1))          0.269332     0.001165    -0.004773
                                              (0.06964)     (0.00022)     (0.01568)
                                             [ 3.86726]    [ 5.24060]    [-0.30436]

                           D(HDI(-1))         203.9609     0.187286     6.162952
                                              (32.5102)     (0.10381)     (7.32048)
                                             [ 6.27375]    [ 1.80403]    [ 0.84188]


                           D(IQ(-1))          5.053402    -0.006198     0.430450
                                              (0.47897)     (0.00153)     (0.10785)
                                             [ 10.5505]    [-4.05204]    [ 3.99110]

                              C              -1.120724     0.004708    -0.014155
                                              (0.19647)     (0.00063)     (0.04424)
                                             [-5.70437]    [ 7.50359]    [-0.31996]

                     R-squared                0.811807     0.344799     0.189686
                     Adj. R-squared           0.803713     0.316618     0.154834
                     Sum sq. resids           88.84066     0.000906     4.504555
                     S.E. equation            0.977382     0.003121     0.220082
                     F-statistic              100.2933     12.23530     5.442598
                     Log likelihood          -134.2479     428.9286     11.85806
                     Akaike AIC               2.841795    -8.651604    -0.139960
                     Schwarz SC               2.973681    -8.519718    -0.008074
                     Mean dependent          -0.050254     0.005714     0.017857
                     S.D. dependent           2.206064     0.003775     0.239394

                     Determinant resid covariance (dof adj.)     2.36E-07
                     Determinant resid covariance          2.01E-07
                     Log likelihood                        338.3399
                     Akaike information criterion         -6.537548
                     Schwarz criterion                    -6.062758


                3.1 The long run causality
                   The OLS (ordinary least squares) method were used to discuss about
                the significance of the model. We found that the error correction term C(1)
                which is -1.57 is negative and significant at the level of 5% because of -
                17.11 statistic which is low 0.09. So there is a long-run relationship between
                the  three  (3)  variables.  Then,  it  exists  an  impact  in  long-term  between
                exports flows, human ressources and institutional quality.

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