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Research Publications

Pandemic Policy and Life Satisfaction in Europe

Clark (Paris School of Economics – CNRS) and Lepinteur use data from the COME-HERE longitudinal survey collected by the University of Luxembourg to assess the effects of the policy responses to the COVID-19 pandemic on life satisfaction in France, Germany, Italy, Spain and Sweden over the course of 2020. Policy responses are measured by the Stringency Index and the Economic Support Index from the Blavatnik School of Government. Stringency is systematically associated with lower life satisfaction, controlling for the intensity of the pandemic itself. This stringency effect is larger for women, those with weak ties to the labour market, and in richer households. The effect of the Economic Support is never statistically different from zero. You can download the paper here.

Well-being and Working at Home during COVID-19

Clark (Paris School of Economics – CNRS), D’AmbrosioSchifano, Greiff, and Vögele (University of Luxembourg) track the well-being of individuals across five European countries during the course of the COVID-19 pandemic and relate well-being to working at home. They measure wellbeing in five dimensions: life satisfaction, a worthwhile life, loneliness, anxiety, and depression. They find that well-being among workers is lower for those who work from home, and those who are not working have the lowest well-being of all. They further show that policy stringency is always negatively correlated with well-being. The well-being penalty from working at home is larger for the older, the better-educated, those with young children, and those with more crowded housing.

The Fall in Income Inequality during COVID-19 in Five European Countries

Clark (Paris School of Economics – CNRS), D'Ambrosio and Lepinteur (University of Luxembourg) use panel data from the COME-HERE survey to track income inequality during COVID-19 in France, Germany, Italy, Spain and Sweden. Relative inequality in equivalent household disposable income among individuals increased between January and May, but then declined by more than this increase by September. An initial rise from January to May was more than reversed by September. Absolute inequality also fell over this period. As such, policy responses may have been of more benefit for the poorer than the richer.

Poverty in the COVID-19 Era: Real Time Data Analysis on Five European Countries

Using real-time data from the University of Luxembourg’s COME-HERE nationally representative panel survey, covering more than 8,000 individuals across France, Germany, Italy, Spain, and Sweden, Menta (University of Luxembourg) investigates how income distributions and poverty rates have changed from January to September 2020. She finds that poverty rates increased on average in all countries from January to May and partially recovered in September. The increase in poverty is different across countries, with Italy being the most affected and France the least. Within countries, COVID-19 contributed to exacerbating poverty differences across regions in Italy and Spain. With a set of poverty measures from the Foster-Greer-Thorbecke poverty metric family, she then explores the role of individual characteristics in shaping different poverty profiles across countries. Results suggest that poverty increased disproportionately more for young individuals, women, and respondents who had a job in January 2020 – with different intensity across countries.

How do different confinement measures affect people

Professors Conchita D’Ambrosio and Claus Vögele, together with postdocs Annika Lutz and Remi Yin (University of Luxembourg), closely assessed people's regular health status, their experiences during COVID-19 (including social environment, financial and health worries, isolation and family environment or degrees of confidence towards authorities) and mental health changes. Results highlight parallels in some of the countries surveyed, but also surprising differences and can be accessed here, while the complete second report is available here.