The Application of Machine Learning in the Corona Era, With an Emphasis on Economic Concepts and Sustainable Development Goals
Table 19. Unit root test
| Null Hypothesis: NEW_DEATHS has a unit root |
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| Exogenous: Constant |
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| Lag Length: 10 (Automatic - based on SIC, maxlag=18) | ||||
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| t-Statistic | Prob.* |
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| Augmented Dickey-Fuller test statistic | -2.665211 | 0.0809 | ||
| 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) |
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| Method: Least Squares |
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| Date: 05/06/22 Time: 07:53 |
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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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| NEW_DEATHS (-1) | -0.023181 | 0.008698 | -2.665211 | 0.0079 |
| D (NEW_DEATHS (-1)) | -0.408744 | 0.044433 | -9.199134 | 0.0000 |
| D (NEW_DEATHS (-2)) | -0.243107 | 0.047070 | -5.164797 | 0.0000 |
| D (NEW_DEATHS (-3)) | -0.169858 | 0.046295 | -3.669005 | 0.0003 |
| D (NEW_DEATHS (-4)) | 0.051552 | 0.044085 | 1.169396 | 0.2428 |
| D (NEW_DEATHS (-5)) | 0.044174 | 0.043705 | 1.010731 | 0.3126 |
| D (NEW_DEATHS (-6)) | 0.198895 | 0.043747 | 4.546444 | 0.0000 |
| D (NEW_DEATHS (-7)) | 0.435494 | 0.044755 | 9.730560 | 0.0000 |
| D (NEW_DEATHS (-8)) | 0.369658 | 0.047910 | 7.715750 | 0.0000 |
| D (NEW_DEATHS (-9)) | 0.250180 | 0.048986 | 5.107131 | 0.0000 |
| D (NEW_DEATHS (-10)) | 0.140641 | 0.046210 | 3.043514 | 0.0025 |
| C | 4.840190 | 1.794175 | 2.697725 | 0.0072 |
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| R-squared | 0.259813 | Mean dependent var | 1.013308 | |
| Adjusted R-squared | 0.243972 | S.D. dependent var | 25.23712 | |
| S.E. of regression | 21.94364 | Akaike info criterion | 9.037381 | |
| Sum squared resid | 247502.9 | Schwarz criterion | 9.134688 | |
| Log likelihood | -2364.831 | Hannan-Quinn criter. | 9.075481 | |
| F-statistic | 16.40174 | Durbin-Watson stat | 1.965415 | |
| Prob(F-statistic) | 0.000000 |
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