Does the exposure to Covid19 shape inequality attitudes? Effects of employment, income and health shocks
- Funded by IZA - Institute of Labor Economics
- Total publications:0 publications
Grant number: unknown
Grant search
Key facts
Disease
COVID-19Funder
IZA - Institute of Labor EconomicsPrincipal Investigator
Joan Costa-FontResearch Location
United Kingdom, ItalyLead Research Institution
London School of Economics and Political Science, IZA - Institute of Labor EconomicsResearch Priority Alignment
N/A
Research Category
Secondary impacts of disease, response & control measures
Research Subcategory
Indirect health impacts
Special Interest Tags
N/A
Study Type
Non-Clinical
Clinical Trial Details
N/A
Broad Policy Alignment
Pending
Age Group
Unspecified
Vulnerable Population
Unspecified
Occupations of Interest
Unspecified
Abstract
We study whether exposure to COVID-19 has affected individual aversion to health and income inequality in the UK, Italy, and Germany, as well as the effect of personal shocks on employment (redundancies, government replacement salary and unemployment), income and health directly linked to COVID-19. We find that conditioned on risk aversion and relevant covariates (income, education, demographics), individuals who have experienced either a health or an financial shock during the COVID-19 pandemic, exhibit lower inequality aversion in terms of health and income, compared to those who have not experienced these shocks. Comparing levels of health and income inequality aversion in the UK between the years 2016 and 2020 we find a significant increase in inequality aversion from 2016 to 2020 in both health (17.3%) and income domains (8.8%). However, our difference-in-differences (DiD) for treatment (risk) groups defined in terms of age, region and personal exposure to health and income shocks in 2020 compared to 2016, does not indicate any additional difference in inequality aversion. The exception being individuals who are both in a high-risk age group and at the same time also experienced a health shock in 2020 compared to 2016, which are significantly more inequality averse in both health and income domains