Examining the factors leading to rising unemployment rate during the COVID-19 pandemic

A study on factors leading to rising unemployment rate during the COVID-19 pandemic. To examine the overall effect of the COVID-19 outbreak on the unemployment rate, policymakers’ decision in suppressing the rising unemployment rate and effects of economic activity to the unemployment rate. We used...

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Main Authors: Choo, Zhan Jing, Chua, Xiao Woon, Ooi, Yee Chern, Wong, Suet Yee
Format: Final Year Project / Dissertation / Thesis
Published: 2021
Subjects:
Online Access:http://eprints.utar.edu.my/4317/
http://eprints.utar.edu.my/4317/1/fyp_FE_2021_CZJ_%2D_1702973.pdf
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author Choo, Zhan Jing
Chua, Xiao Woon
Ooi, Yee Chern
Wong, Suet Yee
author_facet Choo, Zhan Jing
Chua, Xiao Woon
Ooi, Yee Chern
Wong, Suet Yee
author_sort Choo, Zhan Jing
building UTAR Institutional Repository
collection Online Access
description A study on factors leading to rising unemployment rate during the COVID-19 pandemic. To examine the overall effect of the COVID-19 outbreak on the unemployment rate, policymakers’ decision in suppressing the rising unemployment rate and effects of economic activity to the unemployment rate. We used Pooled ordinary least square model (POLS), fixed effect model (FEM) and random effect model (REM) to examine our empirical models. There are 14 countries which are Australia, Brazil, Canada, Denmark, Finland, Germany, Ireland, Italy, Japan, Malaysia, Russia, Switzerland, the United Kingdom and the United States, have been adopted as our sample size with the time period of 10 months, from 1st February 2020 until 31st November 2020. In the study, we analyse how the impacts of independent variables which are economic activity, fiscal policy, COVID-19, internet accessibility and stock market return to the unemployment rate in 14 countries. Our major findings showed workplace mobility and government spending bring negative impacts to unemployment rate, while number of COVID-19 cases, stock market return, internet accessibility and residential mobility reflect positive impacts to unemployment rate. This study serves as a lesson for the future on what is the right thing to be done in order to soften the impact of the pandemic towards the unemployment rate.
first_indexed 2025-11-15T19:33:32Z
format Final Year Project / Dissertation / Thesis
id utar-4317
institution Universiti Tunku Abdul Rahman
institution_category Local University
last_indexed 2025-11-15T19:33:32Z
publishDate 2021
recordtype eprints
repository_type Digital Repository
spelling utar-43172022-02-21T13:37:34Z Examining the factors leading to rising unemployment rate during the COVID-19 pandemic Choo, Zhan Jing Chua, Xiao Woon Ooi, Yee Chern Wong, Suet Yee HB Economic Theory A study on factors leading to rising unemployment rate during the COVID-19 pandemic. To examine the overall effect of the COVID-19 outbreak on the unemployment rate, policymakers’ decision in suppressing the rising unemployment rate and effects of economic activity to the unemployment rate. We used Pooled ordinary least square model (POLS), fixed effect model (FEM) and random effect model (REM) to examine our empirical models. There are 14 countries which are Australia, Brazil, Canada, Denmark, Finland, Germany, Ireland, Italy, Japan, Malaysia, Russia, Switzerland, the United Kingdom and the United States, have been adopted as our sample size with the time period of 10 months, from 1st February 2020 until 31st November 2020. In the study, we analyse how the impacts of independent variables which are economic activity, fiscal policy, COVID-19, internet accessibility and stock market return to the unemployment rate in 14 countries. Our major findings showed workplace mobility and government spending bring negative impacts to unemployment rate, while number of COVID-19 cases, stock market return, internet accessibility and residential mobility reflect positive impacts to unemployment rate. This study serves as a lesson for the future on what is the right thing to be done in order to soften the impact of the pandemic towards the unemployment rate. 2021-04-12 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/4317/1/fyp_FE_2021_CZJ_%2D_1702973.pdf Choo, Zhan Jing and Chua, Xiao Woon and Ooi, Yee Chern and Wong, Suet Yee (2021) Examining the factors leading to rising unemployment rate during the COVID-19 pandemic. Final Year Project, UTAR. http://eprints.utar.edu.my/4317/
spellingShingle HB Economic Theory
Choo, Zhan Jing
Chua, Xiao Woon
Ooi, Yee Chern
Wong, Suet Yee
Examining the factors leading to rising unemployment rate during the COVID-19 pandemic
title Examining the factors leading to rising unemployment rate during the COVID-19 pandemic
title_full Examining the factors leading to rising unemployment rate during the COVID-19 pandemic
title_fullStr Examining the factors leading to rising unemployment rate during the COVID-19 pandemic
title_full_unstemmed Examining the factors leading to rising unemployment rate during the COVID-19 pandemic
title_short Examining the factors leading to rising unemployment rate during the COVID-19 pandemic
title_sort examining the factors leading to rising unemployment rate during the covid-19 pandemic
topic HB Economic Theory
url http://eprints.utar.edu.my/4317/
http://eprints.utar.edu.my/4317/1/fyp_FE_2021_CZJ_%2D_1702973.pdf