Razzak, Weshah (2020): The Dynamic of COVID-19 New Infections under Different Stringent Policies.
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Abstract
We estimate an unrestricted VAR to summarize the dynamics of the stringency of policy and COVID-19 infections in New Zealand, Australia, Denmark, Sweden, and the U.S. using the newly published Stringency Index by the Blavatnik School of Government at the University of Oxford, Hale et al. (2020). The stringency of the policy responds positively to the number of new infections, and new infection cases respond negatively to the increase in the stringency of the policy. New Zealand and Australia followed slightly different stringent policies, but both managed the pandemic remarkably well. Denmark, Sweden, and the U.S. adopted different policies in terms of stringency and timing. Had Denmark, Sweden, and the U.S. adopted the New Zealand’s stringent policy they could have reduced the number of infection cases significantly, but not as much as in New Zealand because the stringency and timing of policy is endogenous and country-specific.
Item Type: | MPRA Paper |
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Original Title: | The Dynamic of COVID-19 New Infections under Different Stringent Policies |
English Title: | The Dynamic of COVID-19 New Infections under Different Stringent Policies |
Language: | English |
Keywords: | COVID-19, Stringency Index, VAR, Dynamic Stochastic Projections |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods C - Mathematical and Quantitative Methods > C9 - Design of Experiments I - Health, Education, and Welfare > I1 - Health > I10 - General |
Item ID: | 100451 |
Depositing User: | Dr Weshah Razzak |
Date Deposited: | 18 May 2020 21:24 |
Last Modified: | 18 May 2020 21:25 |
References: | Gabriele Ciminelli ́ and Silvia Garcia-Mandicó. (2020). COVID-19 in Italy: an Analysis of Death Registry Data. Unpublished manuscript. Available from: Hale, T., N. Angrist, B. Kira, A. Petherick, T. Phillips, and S. Webster. (2020). Variations in Government Responses to COVID-19. BSG-WP-2020/032, Blavatnik School of Government, University of Oxford. Hartl, T. K. Wälde, and E. Weber. (April 2020). Measuring the impact of the German public shutdown on the spread of COVID-19. VOX, CERP Policy Portal Pesaran, M. Hashem and Yongcheol Shin. (1998). Impulse Response Analysis in Linear Multivariate Models,” Economics Letters, 58, 17-29. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/100451 |