Table 1 Ordinary lease square regression
Model description | ||||||
|---|---|---|---|---|---|---|
| Â | Y | No. of variables | Â | No. of observations | Degrees of freedom | |
| Â | SMR | 2 | Â | 2306 | 2304 | Â |
Model fit | ||||||
| Â | R 2 | Adjusted R 2 | Log likelihood | F-statistic | p (F-statistic) | AIC |
| Â | 0.0131 | 0.0127 | -452.760 | 30.58 | 0.000 | 909.53 |
Model estimation | ||||||
| Â | Variable | Coefficient | Â | Std. Error | t-Statistic | P |
| Â | CONSTANT | 0.7288 | Â | 0.0284 | 25.689 | 0.000 |
| Â | AOD | 0.9414 | Â | 0.1702 | 5.530 | 0.000 |
Diagnostic tests | ||||||
| Â | Â | Tests | Â | DF | Value | P |
Normality of errors | Jarque-Bera | 2 | 264.404 | 0.000 | ||
Heteroskedasticity | Breusch-Pagan | 1 | 0.014 | 0.906 | ||
| Â | Â | Koenker-Bassett | 1 | 0.010 | 0.920 | |
| Â | Â | White | 2 | 0.650 | 0.723 | |
Spatial dependence | Moran's I (error) | 0.332 | 26.577 | 0.000 | ||
| Â | Â | Lagrange Multiplier (lag) | 1 | 568.926 | 0.000 | |
| Â | Â | Robust LM (lag) | 1 | 0.754 | 0.385 | |
| Â | Â | Lagrange Multiplier (error) | 1 | 700.080 | 0.000 | |
| Â | Â | Robust LM (error) | 1 | 131.908 | 0.000 | |
| Â | Â | Lagrange Multiplier (SARMA) | 2 | 700.834 | 0.000 | |