ARDL regression based on AIC | Dependent variable: pbgdp | ||
Regressor | Coefficient | Standard Error | T Statistic |
Pbgdp (LD) pdgdp Outputgap Expendgap
| −0.0571 −0.088 0.048 −0.034 −0.732 | (0.234) (0.03) (0.026) (0.171) (0.2472) | −0.24 −2.88 ** 1.88* −0.20 −2.96** |
Model Criteria | Model Diagnostic | ||
Log likelihood R-squared Adj R-squared Root MSE | -38.001468 0.7507332 0.53981514 1.5343141 | DW d-statistic Serial Correlation Heteroskedasticity Normality Functional form | 1.744423 0.4374 0.8011 0.449 0.9672 |