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dc.contributor.authorMonge Moreno, Jesús Tomás
dc.contributor.authorMonge Moreno, Manuel 
dc.date.accessioned2024-02-28T21:02:20Z
dc.date.available2024-02-28T21:02:20Z
dc.date.issued2023
dc.identifier.issn2227-7390spa
dc.identifier.urihttps://hdl.handle.net/10641/4177
dc.description.abstractAt the beginning of the COVID-19 pandemic, the entire world was waiting for a medical solution (for example, vaccines) in order to return to normality. Sanitary restrictions changed our consumption behaviors and feelings. Therefore, this paper analyzes the stochastic properties of consumer sentiment during the COVID-19 episode and the appearance of vaccines against the virus in December 2020 in the United States of America. This study adds a new dimension to the literature because it is the first research paper that uses advanced methodologies based on fractional integration and fractional cointegration analysis to understand the statistical properties of these time series and their behavior in the long term. The results using fractional integration methodologies exhibit a high degree of persistence, finding behavior of mean reversion during the pandemic episode. Therefore, the shock duration in consumer sentiment will be transitory, recovering to its previous trend in the short run. Focusing on the cointegrating part, we arrive at two main conclusions. First, an increase in total vaccination produces a positive reaction or impact on the behavior of consumers. On the other hand, an increase in new COVID-19 cases negatively affects the behavior of the consumer.spa
dc.language.isoengspa
dc.publisherMathematicsspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectConsumer sentimentspa
dc.subjectCOVID-19spa
dc.subjectVaccinationspa
dc.subjectMean reversionspa
dc.subjectPersistencespa
dc.subjectFractional integrationspa
dc.subjectFCVAR modelspa
dc.titleCoronavirus, Vaccination and the Reaction of Consumer Sentiment in The United States: Time Trends and Persistence Analysis.spa
dc.typejournal articlespa
dc.type.hasVersionAMspa
dc.rights.accessRightsopen accessspa
dc.description.extent546 KBspa
dc.identifier.doi10.3390/math11081851spa
dc.relation.publisherversionhttps://www.mdpi.com/2227-7390/11/8/1851spa


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