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Ho, Lukafor, and Yan-SER2024-Health System Performance

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NIAID Data Ecosystem2026-05-02 收录
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We developed a model to assess the government's disaster response during the COVID-19 pandemic, exploring variations across jurisdictions dominated by dierent political identities in the United States. The model denes an individual's payo as a positive function of his/her income and the government's disaster response. The individual is more prone to wear a mask if the government is more responsive to the disaster during the pandemic, and there can be a lower income loss for the individual during the pandemic when he/she has higher compliance to the government's order of face mask. Utilizing this model, we derive the government's disaster response to be positively correlated with the impact of COVID-19 deaths on masking behavior and negatively correlated with the change of the death toll relative to income. This allows us to evaluate the unobserved disaster response of the government explicitly using regression results. We compare the government's disaster response across jurisdictions dominated by dierent political identities in the United States. The results highlight a more resilient disaster response in Democratic states, translating into superior health system performance compared to their Republican counterparts. These ndings emphasize the crucial role of policies designed to strengthen disaster response, especially in addressing collective action problems such as those posed by the COVID-19 pandemic and climate crises.

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2025-04-14
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