Abstract
We investigate the role of the infectious disease control (IDC) system in curbing the spread of infectious disease and preventing economic damage during the COVID-19 pandemic. To this end, we propose incorporating a clustering analysis into the synthetic control method. This contributes to constructing a homogeneous donor pool, which is necessary for an unbiased treatment effect estimator. South Korea’s effective IDC system, the so-called K-Quarantine, is estimated to have reduced the number of disease infections and to have prevented a 3.6% loss of GDP and a 0.3%p rise in the unemployment rate in South Korea in 2020. These results are robust in an alternative reduced-form regression analysis under various specifications.
| Original language | English |
|---|---|
| Article number | 2134904 |
| Journal | Economic Research-Ekonomska Istrazivanja |
| Volume | 36 |
| Issue number | 2 |
| DOIs | |
| State | Published - 2023 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 8 Decent Work and Economic Growth
Keywords
- Covid-19
- K-quarantine
- clustering analysis
- infectious disease control
- synthetic control
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