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COVID-19 anti-contagion policies and economic support measures in the USA

Dergiades, Theologos, Milas, Costas, Mossialos, Elias ORCID: 0000-0001-8664-9297 and Panagiotidis, Theodore (2023) COVID-19 anti-contagion policies and economic support measures in the USA. Oxford Economic Papers, 75 (3). 613 - 630. ISSN 0030-7653

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Identification Number: 10.1093/oep/gpac031

Abstract

Current literature assumes that non-pharmaceutical interventions (NPIs) reduce COVID-19 infections uniformly, that is, irrespectively of their strength. The role of economic support measures (ESM) in controlling the virus is also overlooked. Using a panel threshold model of COVID-19 cases in the US states, we identify three distinct regimes of ‘low’, ‘medium’, and ‘high’ severity interventions; the latter being more effective towards reducing infections growth. ESM increase the efficacy of NPIs through a behavioural channel that lowers the workplace hours supplied by individuals. Nonetheless, when containment policies are not very stringent (‘low’ regime) or are too draconian (‘high’ regime), ESM are less effective towards suppressing the pandemic. Finally, we find that the largest impact towards reducing the growth of infections comes jointly from school closures, workplace closures, cancelation of public events, and restrictions on internal movement, followed by the stay-at-home requirements, and the closure of public transport.

Item Type: Article
Official URL: https://academic.oup.com/oep
Additional Information: © 2022 The Author(s)
Divisions: Health Policy
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
H Social Sciences > HB Economic Theory
JEL classification: C - Mathematical and Quantitative Methods > C3 - Econometric Methods: Multiple; Simultaneous Equation Models; Multiple Variables; Endogenous Regressors > C33 - Models with Panel Data
C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C51 - Model Construction and Estimation
Date Deposited: 20 Jul 2023 11:18
Last Modified: 15 Apr 2024 18:15
URI: http://eprints.lse.ac.uk/id/eprint/119774

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