Loss of employment, lockdown measures and government responses in Malaysia during the COVID-19 pandemic: A note

Muzafar Shah Habibullah; Mohd Yusof Saari; Sugiharso Safuan; Badariah Haji Din; Anuar Shah Bali Mahomed

doi:10.33736/ijbs.4320.2021

Loss of employment, lockdown measures and government responses in Malaysia during the COVID-19 pandemic: A note

Muzafar Shah Habibullah, Mohd Yusof Saari, Sugiharso Safuan, Badariah Haji Din, Anuar Shah Bali Mahomed

Department of Economics

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

In this paper, we use daily administrative data from January 25, 2020 to December 31, 2020 to examine the relationship between job losses and the Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used to estimate both the long-run and short-run models. The results of the Bounds F-test for cointegration reveal that there is a long-run link between job losses and the Malaysian government lockdown measures (both linear and non-linear). The positive association between job loss and lockdown measures shows that as the lockdown gets tighter, more people will lose their jobs. However, as time passes, especially in conjunction with the government stimulus package programmes, job losses decrease.

Original language	English
Pages (from-to)	1525-1549
Number of pages	25
Journal	International Journal of Business and Society
Volume	22
Issue number	3
DOIs	https://doi.org/10.33736/ijbs.4320.2021
Publication status	Published - 13 Dec 2021

Keywords

ARDL
Labour market
Lockdown
Loss of employment
Malaysia

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10.33736/ijbs.4320.2021

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abstract = "In this paper, we use daily administrative data from January 25, 2020 to December 31, 2020 to examine the relationship between job losses and the Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used to estimate both the long-run and short-run models. The results of the Bounds F-test for cointegration reveal that there is a long-run link between job losses and the Malaysian government lockdown measures (both linear and non-linear). The positive association between job loss and lockdown measures shows that as the lockdown gets tighter, more people will lose their jobs. However, as time passes, especially in conjunction with the government stimulus package programmes, job losses decrease.",

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AU - Safuan, Sugiharso

AU - Din, Badariah Haji

AU - Mahomed, Anuar Shah Bali

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PY - 2021/12/13

Y1 - 2021/12/13

N2 - In this paper, we use daily administrative data from January 25, 2020 to December 31, 2020 to examine the relationship between job losses and the Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used to estimate both the long-run and short-run models. The results of the Bounds F-test for cointegration reveal that there is a long-run link between job losses and the Malaysian government lockdown measures (both linear and non-linear). The positive association between job loss and lockdown measures shows that as the lockdown gets tighter, more people will lose their jobs. However, as time passes, especially in conjunction with the government stimulus package programmes, job losses decrease.

AB - In this paper, we use daily administrative data from January 25, 2020 to December 31, 2020 to examine the relationship between job losses and the Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used to estimate both the long-run and short-run models. The results of the Bounds F-test for cointegration reveal that there is a long-run link between job losses and the Malaysian government lockdown measures (both linear and non-linear). The positive association between job loss and lockdown measures shows that as the lockdown gets tighter, more people will lose their jobs. However, as time passes, especially in conjunction with the government stimulus package programmes, job losses decrease.

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KW - Labour market

KW - Lockdown

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Loss of employment, lockdown measures and government responses in Malaysia during the COVID-19 pandemic: A note

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Keywords

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