The Application of Machine Learning in the Corona Era, With an Emphasis on Economic Concepts and Sustainable Development Goals
Table 20. 1st difference
| Null Hypothesis: D(NEW_DEATHS) has a unit root | ||||
| Exogenous: Constant |
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| Lag Length: 9 (Automatic - based on SIC, maxlag=18) | ||||
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| t-Statistic | Prob.* |
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| Augmented Dickey-Fuller test statistic | -2.745142 | 0.0672 | ||
| 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,2) |
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| Method: Least Squares |
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| Date: 05/06/22 Time: 07:57 |
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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)) | -0.457832 | 0.166779 | -2.745142 | 0.0063 |
| D(NEW_DEATHS (-1),2) | -0.960351 | 0.165024 | -5.819464 | 0.0000 |
| D(NEW_DEATHS (-2),2) | -1.211160 | 0.164673 | -7.354955 | 0.0000 |
| D(NEW_DEATHS (-3),2) | -1.389519 | 0.162449 | -8.553567 | 0.0000 |
| D(NEW_DEATHS (-4),2) | -1.348947 | 0.155132 | -8.695479 | 0.0000 |
| D(NEW_DEATHS (-5),2) | -1.318161 | 0.142308 | -9.262725 | 0.0000 |
| D(NEW_DEATHS (-6),2) | -1.133112 | 0.127129 | -8.913077 | 0.0000 |
| D(NEW_DEATHS (-7),2) | -0.712904 | 0.105758 | -6.740912 | 0.0000 |
| D(NEW_DEATHS (-8),2) | -0.359906 | 0.078565 | -4.581003 | 0.0000 |
| D(NEW_DEATHS (-9),2) | -0.126670 | 0.046183 | -2.742777 | 0.0063 |
| C | 0.807411 | 0.969821 | 0.832535 | 0.4055 |
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| R-squared | 0.687555 | Mean dependent var | 0.292776 | |
| Adjusted R-squared | 0.681488 | S.D. dependent var | 39.11144 | |
| S.E. of regression | 22.07328 | Akaike info criterion | 9.047304 | |
| Sum squared resid | 250923.3 | Schwarz criterion | 9.136502 | |
| Log likelihood | -2368.441 | Hannan-Quinn criter. | 9.082229 | |
| F-statistic | 113.3288 | Durbin-Watson stat | 1.964641 | |
| Prob(F-statistic) | 0.000000 |
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