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 |
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| Lag Length: 8 (Automatic - based on SIC, maxlag=18) | ||||
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| t-Statistic | Prob.* |
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| Augmented Dickey-Fuller test statistic | -17.29157 | 0.0000 | ||
| Test critical values: | 1% level |
| -3.442554 |
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| 5% level |
| -2.866815 |
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| 10% level |
| -2.569640 |
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| *MacKinnon (1996) one-sided p-values. |
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| Augmented Dickey-Fuller Test Equation |
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| Dependent Variable: D(NEW_DEATHS,3) |
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| Method: Least Squares |
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| Date: 05/06/22 Time: 07:58 |
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| Sample (adjusted): 12 537 |
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| Included observations: 526 after adjustments |
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| Variable | Coefficient | Std. Error | t-Statistic | Prob. |
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| 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 |
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| 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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