DOIONLINE 
DOIONLINE Publish In |
International Journal of Management and Applied Science (IJMAS)-IJMAS |
 Journal Home Volume Issue |
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Issue |
Volume-8,Issue-12 ( Dec, 2022 ) | |||||||||
Paper Title |
Statistical Analysis for the Influence of Covid-19 Measure on Unemployment during the First Wave | |||||||||
Author Name |
Xiaoqin Wang, Li Yin | |||||||||
Affilition |
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Pages |
39-42 | |||||||||
Abstract |
Abstract - The pandemic progression is a complex dynamic process, in which measure yield outcomes, which in turn influence the subsequent measures and outcomes. In this paper, we estimate the causal effect of the Swedish mild measure relative to the common invasive measure on unemployment during the first wave of the COVID-19 pandemic. We use available table data to demonstrate the possibility of a statistical analysis. While the early Swedish measure clearly led to poor public health outcomes, we found that it also had a long-term poor influence on unemployment. Keywords - COVID-19, Dynamic Progression, Long-term Causal Effect, Sequential Causal Effect, Short-Term Causal Effect. | |||||||||
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