Trends in Income and Well-Being Inequality During the COVID-19 Pandemic in Japan

Although the COVID-19 pandemic could have caused both monetary and non-monetary distributional changes, existing studies have only investigated its immediate monetary impacts. This study examines the pandemic's medium-term impacts on income and well-being inequality using individual longitudinal data from the Japan Household Panel Survey. Gini coefficients and income mobility before and after the pandemic are calculated to analyze income inequality. Various well-being measures such as mental health and life satisfaction are used to analyze well-being inequality. The findings reveal no increase in income inequality. Progressive income growth ensured stable inequality throughout the pandemic. Conversely, on average, well-being worsened, and well-being inequality increased. Furthermore, we find an association between income and well-being inequality. The random-effects and fixed-effects models indicate that the well-being of the high-income group tended to improve, whereas that of the low-income group tended to deteriorate after the outbreak of the pandemic. Additionally, the causal mediation analysis shows that the adoption of remote work served as a factor for the increase in the well-being of people in the high-income group. Remote work became disproportionately prevalent during the pandemic, especially among people in the higher income group. This group experienced various benefits of remote work, which contributed to an improvement in their well-being and an increase in well-being inequality.

Authors

Institutions

Publication Details

Journal
Social Indicators Research
Published
2024-12-21
DOI
https://doi.org/10.1007/s11205-024-03478-6
Citations
2
Primary Topic
Psychological Well-being and Life Satisfaction
Type
article
Field-Weighted Citation Impact
1.29

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trends in Income and Well-Being Inequality During the COVID-19 Pandemic in Japan

Kayoko Ishii, Isamu Yamamoto
2 citations
Social Indicators Research
Psychological Well-being and Life Satisfaction
1.29
article

Trends in Income and Well-Being Inequality During the COVID-19 Pandemic in Japan

Kayoko Ishii, Isamu Yamamoto
article en
2 citations

Abstract

Although the COVID-19 pandemic could have caused both monetary and non-monetary distributional changes, existing studies have only investigated its immediate monetary impacts. This study examines the pandemic's medium-term impacts on income and well-being inequality using individual longitudinal data from the Japan Household Panel Survey. Gini coefficients and income mobility before and after the pandemic are calculated to analyze income inequality. Various well-being measures such as mental health and life satisfaction are used to analyze well-being inequality. The findings reveal no increase in income inequality. Progressive income growth ensured stable inequality throughout the pandemic. Conversely, on average, well-being worsened, and well-being inequality increased. Furthermore, we find an association between income and well-being inequality. The random-effects and fixed-effects models indicate that the well-being of the high-income group tended to improve, whereas that of the low-income group tended to deteriorate after the outbreak of the pandemic. Additionally, the causal mediation analysis shows that the adoption of remote work served as a factor for the increase in the well-being of people in the high-income group. Remote work became disproportionately prevalent during the pandemic, especially among people in the higher income group. This group experienced various benefits of remote work, which contributed to an improvement in their well-being and an increase in well-being inequality.

Social Indicators ResearchVol. 180(1)
Keio University (JP)
Keio University, National Institutes of Health, Japan Society for the Promotion of Science, National Institute on Aging
No poverty
Openalex Percentile: Top 17%
Psychological Well-being and Life Satisfaction
1.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Trends in Income and Well-Being Inequality During the COVID-19 Pandemic in Japan — Kayoko Ishii, Isamu Yamamoto · Social Indicators Research (2024) | TGRS Research Map | TGRS