Twin Peaks: Covid-19 and the Labor Market
- Funded by British Academy
- Total publications:0 publications
Grant number: COV19\201102
Grant search
Key facts
Disease
COVID-19Known Financial Commitments (USD)
$10,571.7Funder
British AcademyPrincipal Investigator
Dr. Alessandro RuggieriResearch Location
United KingdomLead Research Institution
University of Nottingham, EconomicsResearch Priority Alignment
N/A
Research Category
Secondary impacts of disease, response & control measures
Research Subcategory
Economic 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
The Covid-19 epidemic has posed significant challenges to public health. Since the virus outbreak, governments have implemented confinement measures aimed at reducing the spread of the virus. Nevertheless, these measures have potentially huge economic and social costs. Understanding costs and benefits of alternative confinement policies and supporting labour market policies is of first order. To this purpose, we build a quantitative framework that merges a search and matching model of the labour market to a standard SIR epidemiological model of contagion. Standard epidemiological frameworks abstract from modelling individual behaviour in the labor market, while standard models of labor market are not able to capture the effect of the current epidemic shock, and its heterogeneity in the population. This is the first project to fill this knowledge gap. We calibrate the model to UK data and we use it as a laboratory to evaluate welfare and distributional consequences of government policies.