Using Disaggregated and Latent Variable Analysis to Investigate the Role of Socioeconomic Factors in Concerns and Expectations Related to the Covid-19 Pandemic in Chile

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dc.catalogadorgjm
dc.contributor.authorTirachini, Alejandro
dc.contributor.authorGuevara, Angelo
dc.contributor.authorMunizaga, Marcela
dc.contributor.authorCarrasco, Juan Antonio
dc.contributor.authorAstroza, Sebastián
dc.contributor.authorHurtubia González, Ricardo
dc.date.accessioned2024-03-27T13:32:11Z
dc.date.available2024-03-27T13:32:11Z
dc.date.issued2022
dc.description.abstractThe COVID-19 pandemic has triggered a complex set of psychosocial effects, such as anxiety, depression, financial loss, burnout, and fear of infection. We study the role of socioeconomic factors in the concerns related to the COVID-19 pandemic, as well as the expectations of social changes on a post-pandemic future. The analysis is performed by collecting 22 indicators from a sample of 4,395 adults in Chile. The analysis is performed first by descriptive statistics, then by fusing the indictors into three latent variables, and finally by modelling each indicator as a separate choice. We find that lower-income people are significantly more worried about a range of financial and health issues arising from the COVID-19 pandemic, including concerns about being infected by the virus, losing their job and not being able to pay debts. The concern about facing a large economic crisis is significantly larger in the extremes, i.e., for low- and high-income groups. Age, gender, having a university degree, the possibility of working from home, and the general health status also influence the fears related to the COVID-19 pandemic. From a policy point of view, we conclude that strong policy interventions are necessary to reduce the uneven negative effects of COVID-19 in society, including material and mental health problems. From a methodological point of view, our results show that, while using a latent variable approach allows disentangling the main drivers of the phenomenon, rich content may be omitted when a disaggregated analysis is neglected, therefore both approaches are complementary.
dc.fuente.origenORCID
dc.identifier.urihttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=4022866
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/84820
dc.information.autorucEscuela de Ingeniería; Hurtubia González, Ricardo; 0000-0002-3553-610X; 1015343
dc.language.isoen
dc.nota.accesocontenido completo
dc.rightsacceso abierto
dc.subjectSocial effects
dc.subjectGender effects
dc.subjectHealthcare
dc.subjectSocial security
dc.subjectCoronavirus
dc.subject.ods03 Good health and well-being
dc.subject.odspa03 Salud y bienestar
dc.titleUsing Disaggregated and Latent Variable Analysis to Investigate the Role of Socioeconomic Factors in Concerns and Expectations Related to the Covid-19 Pandemic in Chile
dc.typepreprint
sipa.codpersvinculados1015343
sipa.trazabilidadORCID;2024-03-25
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