The Application of Machine Learning in the Corona Era, With an Emphasis on Economic Concepts and Sustainable Development Goals
Table 21.
2nd difference
| Null Hypothesis: D(NEW_DEATHS,2) has a unit root | | Exogenous: Constant | | | | Lag Length: 8 (Automatic - based on SIC, maxlag=18) | | | | | | | | | | | | | | | | | t-Statistic | Prob.* | | | | | | | | | | | | | | Augmented Dickey-Fuller test statistic | -17.29157 | 0.0000 | | Test critical values: | 1% level | | -3.442554 | | | | 5% level | | -2.866815 | | | | 10% level | | -2.569640 | | | | | | | | | | | | | | | *MacKinnon (1996) one-sided p-values. | | | | | | | | | | | | | | | Augmented Dickey-Fuller Test Equation | | | Dependent Variable: D(NEW_DEATHS,3) | | | Method: Least Squares | | | | Date: 05/06/22 Time: 07:58 | | | | Sample (adjusted): 12 537 | | | | Included observations: 526 after adjustments | | | | | | | | | | | | | | | Variable | Coefficient | Std. Error | t-Statistic | Prob. | | | | | | | | | | | | | | D(NEW_DEATHS (-1),2) | -11.70773 | 0.677077 | -17.29157 | 0.0000 | | D(NEW_DEATHS (-1),3) | 9.310673 | 0.649145 | 14.34297 | 0.0000 | | D(NEW_DEATHS (-2),3) | 7.694249 | 0.590573 | 13.02845 | 0.0000 | | D(NEW_DEATHS (-3),3) | 5.943338 | 0.506712 | 11.72921 | 0.0000 | | D(NEW_DEATHS (-4),3) | 4.290097 | 0.408210 | 10.50953 | 0.0000 | | D(NEW_DEATHS (-5),3) | 2.729251 | 0.305450 | 8.935186 | 0.0000 | | D(NEW_DEATHS (-6),3) | 1.415214 | 0.204167 | 6.931652 | 0.0000 | | D(NEW_DEATHS (-7),3) | 0.582039 | 0.114799 | 5.070048 | 0.0000 | | D(NEW_DEATHS (-8),3) | 0.153783 | 0.045399 | 3.387331 | 0.0008 | | C | 0.487370 | 0.968867 | 0.503031 | 0.6152 | | | | | | | | | | | | | | R-squared | 0.895802 | Mean dependent var | 0.429658 | | Adjusted R-squared | 0.893985 | S.D. dependent var | 68.22072 | | S.E. of regression | 22.21263 | Akaike info criterion | 9.058028 | | Sum squared resid | 254595.0 | Schwarz criterion | 9.139117 | | Log likelihood | -2372.261 | Hannan-Quinn criter. | 9.089778 | | F-statistic | 492.9029 | Durbin-Watson stat | 1.976637 | | Prob(F-statistic) | 0.000000 | | | | | | | | | | | | | | | |
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