Table 4.
Comparison of Vector Error Correction (VEC) model in different lags.
| Endogenous variables | Exogenous variables# | Lag no. | Adjusted R-squared |
Probability in Wald test |
Stability | ||
|---|---|---|---|---|---|---|---|
| Dependent variable |
Dependent variable |
||||||
| ΔLGDPSA | ΔLELECSA | ΔLGDPSA | ΔLELECSA | ||||
| ΔLGDPSA ΔLELECSA | C ΔLTOURSA | 1 | 0.0037 | 0.1195 | 0.7627 | 0.8134 | Unstable |
| ΔLGDPSA ΔLELECSA | C | −0.03206 | 0.1329 | 0.2880 | 0.1653 | Stable | |
| ΔLGDPSA ΔLELECSA | C ΔLTOURSA | 2 | 0.0357 | 0.0555 | 0.1036 | 0.6196 | Unstable |
| ΔLGDPSA ΔLELECSA | C | −0.0049 | 0.0902 | 0.1684 | 0.3010 | Stable | |
| ΔLGDPSA ΔLELECSA | C ΔLTOURSA | 3 | 0.0888 | −0.1146 | 0.0349* | 0.9829 | Unstable |
| ΔLGDPSA ΔLELECSA | C | 0.0617 | −0.0034 | 0.0389* | 0.7320 | Stable | |
Notes: 1. In Wald test, * denotes the rejection of the null hypothesis at the 5 percent significance value. 2. In #, C represents a constant in exogenous variable.