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 |
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Article number | 2134904 |
Journal | Economic Research-Ekonomska Istrazivanja |
Volume | 36 |
Issue number | 2 |
DOIs | |
State | Published - 2023 |
Keywords
- Covid-19
- K-quarantine
- clustering analysis
- infectious disease control
- synthetic control