Covid-19 Vaccination Impact on Four Asean Countries’ Stock With Spatial Dependency: A Comparison of Panel and Geographically Weighted Regression

Research about various policies and responses toward COVID-19 cases and its impact on stocks has grown recently. It shows that spatial influence is one of the keys in this research. The pandemic is not free from spatial dependence regarding how it indirectly impacts a country’s economy. Each country has different policies to handle COVID-19, such as lockdowns and vaccination. WHO stated that all countries require vaccination to build human immunity against COVID-19 in the future. Naturally, ASEAN implemented this policy; thus, it is crucial to see the extent of the impact of vaccination on the ASEAN economy. However, the residuals have heterogeneity problems when using the panel regression model. One of the reasons is that there is spatial dependence, especially when modeling the COVID-19 pandemic. Therefore, comparing panel regression with a geographically weighted regression panel (GWR-Panel) is substantial when exploring the reaction of stock returns to vaccination and positive cases of COVID-19 in Indonesia, Malaysia, Singapore, and Thailand

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Publication Details

Journal
Jurnal Matematika Statistika dan Komputasi
Published
2024-09-15
DOI
https://doi.org/10.20956/j.v21i1.36177
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
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article

Covid-19 Vaccination Impact on Four Asean Countries’ Stock With Spatial Dependency: A Comparison of Panel and Geographically Weighted Regression

Eti Kurniati, Marizsa Herlina, Shafira Rizq, Nabila Zahratu Fuadi
Jurnal Matematika Statistika dan Komputasi
COVID-19 Pandemic Impacts
article

Covid-19 Vaccination Impact on Four Asean Countries’ Stock With Spatial Dependency: A Comparison of Panel and Geographically Weighted Regression

Eti Kurniati, Marizsa Herlina, Shafira Rizq, Nabila Zahratu Fuadi
article en

Abstract

Research about various policies and responses toward COVID-19 cases and its impact on stocks has grown recently. It shows that spatial influence is one of the keys in this research. The pandemic is not free from spatial dependence regarding how it indirectly impacts a country’s economy. Each country has different policies to handle COVID-19, such as lockdowns and vaccination. WHO stated that all countries require vaccination to build human immunity against COVID-19 in the future. Naturally, ASEAN implemented this policy; thus, it is crucial to see the extent of the impact of vaccination on the ASEAN economy. However, the residuals have heterogeneity problems when using the panel regression model. One of the reasons is that there is spatial dependence, especially when modeling the COVID-19 pandemic. Therefore, comparing panel regression with a geographically weighted regression panel (GWR-Panel) is substantial when exploring the reaction of stock returns to vaccination and positive cases of COVID-19 in Indonesia, Malaysia, Singapore, and Thailand

Jurnal Matematika Statistika dan KomputasiVol. 21(1)
Department of Public (IN), Bandung Islamic University (ID), Mining Engineering Bandung Islamic University (ID)
Universitas Islam Bandung
Openalex Percentile: Top 80%
COVID-19 Pandemic Impacts
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Covid-19 Vaccination Impact on Four Asean Countries’ Stock With Spatial Dependency: A Comparison of Panel and Geographically Weighted Regression — Eti Kurniati, Marizsa Herlina, et al. · Jurnal Matematika Statistika dan Komputasi (2024) | TGRS Research Map | TGRS