Open Access
Journal Article
COVID-19 and non-communicable diseases: GMM/IV Panel VAR evidence from US states
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Department of Economics, Policy and International Business, Manchester Metropolitan University, Manchester, UK
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Author to whom correspondence should be addressed.
EAL 2023 2(1):16; https://doi.org/10.58567/eal02010006
Received: 13 March 2023 / Accepted: 16 April 2023 / Published Online: 18 April 2023
Abstract
This paper estimates panel vector autoregressions to analyze the endogenous connection between COVID-19 and non-communicable diseases (NCDs). Using weekly, US state-level data, the study finds evidence of a significant positive effect of NCD-related mortality on deaths due to COVID-19. I find this effect to be higher for males than females. Results are robust to several sensitivity checks, so large deviations are unexpected.
Copyright: © 2023 by E. Emediegwu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Cite This Paper
APA Style
E. Emediegwu, L. (2023). COVID-19 and non-communicable diseases: GMM/IV Panel VAR evidence from US states. Economic Analysis Letters, 2(1), 16. doi:10.58567/eal02010006
ACS Style
E. Emediegwu, L. COVID-19 and non-communicable diseases: GMM/IV Panel VAR evidence from US states. Economic Analysis Letters, 2023, 2, 16. doi:10.58567/eal02010006
AMA Style
E. Emediegwu L. COVID-19 and non-communicable diseases: GMM/IV Panel VAR evidence from US states. Economic Analysis Letters; 2023, 2(1):16. doi:10.58567/eal02010006
Chicago/Turabian Style
E. Emediegwu, Lotanna 2023. "COVID-19 and non-communicable diseases: GMM/IV Panel VAR evidence from US states" Economic Analysis Letters 2, no.1:16. doi:10.58567/eal02010006