Modeling COVID-19 Cases Statistically and Evaluating Their Effect on the Economy of Countries

Vista sencilla de ítem
dc.contributor.authorDe La Fuente-Mella, Hanns
dc.contributor.authorRubilar-Torrealba, Rolando
dc.contributor.authorChahuán-Jiménez, Karime
dc.contributor.authorLeiva, Víctor
dc.date.accessioned2022-11-30T02:46:21Z
dc.date.available2022-11-30T02:46:21Z
dc.date.issued2021
dc.description.abstractCOVID-19 infections have plagued the world and led to deaths with a heavy pneumonia manifestation. The main objective of this investigation is to evaluate the performance of certain economies during the crisis derived from the COVID-19 pandemic. The gross domestic product (GDP) and global health security index (GHSI) of the countries belonging–or not–to the Organization for Economic Cooperation and Development (OECD) are considered. In this paper, statistical models are formulated to study this performance. The models’ specifications include, as the response variable, the GDP variation/growth percentage in 2020, and as the covariates: the COVID-19 disease rate from its start in March 2020 until 31 December 2020; the GHSI of 2019; the countries’ risk by default spreads from July 2019 to May 2020; belongingness or not to the OECD; and the GDP per capita in 2020. We test the heteroscedasticity phenomenon present in the modeling. The variable “COVID-19 cases per million inhabitants” is statistically significant, showing its impact on each country’s economy through the GDP variation. Therefore, we report that COVID-19 cases affect domestic economies, but that OECD membership and other risk factors are also relevant.en_ES
dc.facultadFacultad de Ciencias Económicas y Administrativasen_ES
dc.file.nameFuente_Mod2021.pdf
dc.identifier.citationde la Fuente-Mella, H.; Rubilar, R.; Chahuán-Jiménez, K.; Leiva, V. Modeling COVID-19 Cases Statistically and Evaluating Their Effect on the Economy of Countries. Mathematics 2021, 9, 1558. https://doi.org/10.3390/math9131558en_ES
dc.identifier.doihttps://doi.org/10.3390/math9131558
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/7333
dc.languageen
dc.publisherMDPI
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
dc.sourceMathematics
dc.subjectDATA SCIENCEen_ES
dc.subjectECONOMETRIC MODELINGen_ES
dc.subjectECONOMIC CRISISen_ES
dc.subjectGLOBAL HEALTH SECURITY INDEXen_ES
dc.subjectGROSS DOMESTIC PRODUCTen_ES
dc.subjectOECDen_ES
dc.subjectSARS-COV-2en_ES
dc.titleModeling COVID-19 Cases Statistically and Evaluating Their Effect on the Economy of Countries
dc.typeArticulo
uv.departamentoEscuela de Auditoria

Archivos

Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
Fuente_Mod2021.pdf
Tamaño:
1.4 MB
Formato:
Adobe Portable Document Format
Descargar

Colecciones

Artículos investigadores UV