Data and code for Mental wellbeing and job loss during health crisis: International evidence

Principal Investigator(s):  View help for Principal Investigator(s) Akbar Zamanzadeh, University of South Australia; Rajabrata Banerjee, University of South Australia; Tony Cavoli, University of South Australia

Version:  View help for Version V1

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Project Citation: 

Zamanzadeh, Akbar , Banerjee, Rajabrata, and Cavoli, Tony. Data and code for Mental wellbeing and job loss during health crisis: International evidence. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-09-07. https://doi.org/10.3886/E179521V1

Project Description

Summary:  View help for Summary Using a rich individual level dataset from six countries, we examine the association between job loss and mental wellbeing loss during the first phase of the COVID-19 pandemic. We consider four indicators of mental health status based on their severity, viz. anxiety, insomnia, boredom, and loneliness. We draw our conclusions based on two groups of countries that differ by the timing of their peak infections count. Using a logit model and controlling for endogeneity, we find that the people who lost their jobs due to the pandemic are more likely to suffer from mental wellbeing loss, especially insomnia and loneliness. Additionally, people with financial liabilities, such as housing mortgages, are among the mentally vulnerable groups to anxiety. Women, urban residences, youth, low-income groups, and tobacco users are more prone to mental wellbeing loss. The findings from this research have significant policy implications on infectious disease control measures and mental health status due to lockdowns and social distancing.

Scope of Project

Subject Terms:  View help for Subject Terms Economics; COVID-19; mental wellbeing
Geographic Coverage:  View help for Geographic Coverage US, UK, China, Italy, Japan, South Korea
Time Period(s):  View help for Time Period(s) 1/22/2020 – 4/23/2020
Data Type(s):  View help for Data Type(s) survey data
Collection Notes:  View help for Collection Notes Secondary data sourced from Belot et al. (2020).

Methodology

Data Source:  View help for Data Source We use rich multi-country microdata of six countries collected by Belot et al. (2020).

Belot, M., van den Broek-Altenburg, E., Choi, S., Jamison, J. C., Papageorge, N. W., & Tripodi, E. (2020). Six-country survey on Covid-191. Covid Economics, 206.

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V1 [2022-09-07]

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