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A Macroeconomic Model of Healthcare Saturation, Inequality and the Output-Pandemia Tradeoff
National Bureau of Economic Research Working Paper Series ; No. 28247, 2020.
Article in English | NBER | ID: grc-748462
ABSTRACT
COVID-19 became a global health emergency when it threatened the catastrophic collapse of health systems as demand for health goods and services and their relative prices surged. Governments responded with lockdowns and increases in transfers. Empirical evidence shows that lockdowns and healthcare saturation contribute to explain the cross-country variation in GDP drops even after controlling for COVID-19 cases and mortality. We explain this output-pandemia tradeoff as resulting from a shock to subsistence health demand that is larger at higher capital utilization in a model with entrepreneurs and workers. The health system moves closer to saturation as the gap between supply and subsistence narrows, which worsens consumption and income inequality. An externality distorts utilization, because firms do not internalize that lower utilization relaxes healthcare saturation. The optimal policy response includes lockdowns and transfers to workers. Quantitatively, strict lockdowns and large transfer hikes can be optimal and yield sizable welfare gains because they prevent a sharp rise in inequality. Welfare and output costs vary in response to small parameter changes or deviations from optimal policies. Weak lockdowns coupled with weak transfers programs are the worst alternative and yet are in line with what several emerging and least developed countries have implemented.

Full text: Available Collection: Databases of international organizations Database: NBER Type of study: Randomized controlled trials Language: English Journal: National Bureau of Economic Research Working Paper Series Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: NBER Type of study: Randomized controlled trials Language: English Journal: National Bureau of Economic Research Working Paper Series Year: 2020 Document Type: Article