Open Access Journal Article

COVID-19 and non-communicable diseases: GMM/IV Panel VAR evidence from US states

by Lotanna E. Emediegwu a,* orcid
a
Department of Economics, Policy and International Business, Manchester Metropolitan University, Manchester, UK
*
Author to whom correspondence should be addressed.
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.
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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. https://doi.org/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. https://doi.org/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. https://doi.org/10.58567/eal02010006
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. https://doi.org/10.58567/eal02010006

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References

  1. Arellano, M., Bover, O. (1995), ‘Another look at the instrumental variable estimation of error-components models’, Journal of Econometrics 68(1), 29–51. https://doi.org/10.1016/0304-4076(94)01642-D
  2. Baltagi, B. H. (2001), Econometric analysis of panel data, John Wiley, Sons, London.
  3. Baltagi, B. H. (2008), Econometric analysis of panel data, Vol. 4, Springer.
  4. Deschênes, O., Greenstone, M. (2011), ‘Climate change, mortality, and adaptation: Evidence from annual fluctuations in weather in the US’, American Economic Journal: Applied Economics 3(4), 152–85. https://www.aeaweb.org/articles?id=10.1257/app.3.4.152
  5. Dyer, O. (2020), ‘Covid-19: Pandemic is having "severe" impact on non-communicable disease care, WHO survey finds’. https://doi.org/10.1136/bmj.m2210
  6. Emediegwu, L. E. (2021), ‘Health impacts of daily weather fluctuations: Empirical evidence from COVID-19 in US counties’, Journal of Environmental Management 291, 112662. https://doi.org/10.1016/j.jenvman.2021.112662
  7. Emediegwu, L. E., Nnadozie, O. O. (2023), ‘On the effects of COVID-19 on food prices in India: a time-varying approach’, European Review of Agricultural Economics, 50(2), 232-249. https://doi.org/10.1093/erae/jbac015
  8. Gaur, K., Khedar, R. S., Mangal, K., Sharma, A. K., Dhamija, R. K., Gupta, R. (2021), ‘Macrolevel association of COVID-19 with non-communicable disease risk factors in India’, Diabetes, Metabolic Syndrome: Clinical Research, Reviews 15(1), 343–350. https://doi.org/10.1016/j.dsx.2021.01.005
  9. Holtz-Eakin, D., Newey, W., Rosen, H. S. (1988), ‘Estimating vector autoregressions with panel data’, Econometrica: Journal of the econometric society pp. 1371–1395. https://doi.org/10.2307/1913103
  10. Jordan, R. E., Adab, P., Cheng, K. (2020), ‘Covid-19: risk factors for severe disease and death’, British Medical Journal 368. https://doi.org/10.1136/bmj.m1198
  11. Love, I., Zicchino, L. (2006), ‘Financial development and dynamic investment behavior: Evidence from panel var’, The Quarterly Review of Economics and Finance 46(2), 190– 210. https://doi.org/10.1016/j.qref.2005.11.007
  12. Nikoloski, Z., Alqunaibet, A. M., Alfawaz, R. A., Almudarra, S. S., Herbst, C. H., El-Saharty, S., Alsukait, R., Algwizani, A. (2021), ‘Covid-19 and non-communicable diseases: evidence from a systematic literature review’, BMC Public Health 21(1), 1–9. https://doi.org/10.1186/s12889-021-11116-w
  13. Pécout, C., Pain, E., Chekroun, M., Champeix, C., Kulak, C., Prieto, R., van Vugt, J., Gilchrist, K., Lainé-Pellet, A.-F. (2021), ‘Impact of the COVID-19 Pandemic on Patients Affected by Communicable Diseases in Europe and in the USA’, International Journal of Environmental Research and Public Health 18(13), 6697. https://doi.org/10.3390/ijerph18136697
  14. Sims, C. A. (1980), ‘Macroeconomics and reality’, Econometrica: journal of the Econometric Society pp. 1–48.
  15. WHO (2020), ‘Information note on COVID-19 and NCDs’. https://doi.org/10.2307/1912017