Learn more about LISER’s departments, shaping our contributions to societal and scientific challenges.

Discover research that examines key challenges in employment, economic trends and social dynamics within the labour market, offering valuable insights into these important areas.

Living Conditions

Engage with research that investigates the factors influencing living standards, with a focus on income distribution, housing conditions and social inclusion, providing evidence-based insights into these crucial areas.

Urban Development and Mobility

Studies urban dynamics to identify pathways of actors to stimulate sustainable urban transitions.

Appel à Communications: Les relations industrielles dans un monde du travail en mutation

Learn more about our cross-departmental programmes, which combine interdisciplinary expertise to tackle transversal challenges.

Crossing Borders

Discover how our research into the complexities of cross-border mobility is advancing knowledge, shaping policy, benefiting society and addressing global challenges.

Health and Health Systems

Engage with research dedicated to enhancing public health, improving healthcare accessibility, and promoting equitable and efficient health solutions at a global scale.

Discover LISER's initiatives, driving scientific progress and fostering meaningful collaborations with stakeholders.

Doctoral programmes

Meet a dynamic community of researchers addressing critical societal challenges through innovative and interdisciplinary studies. Our doctoral programme offers exceptional training, mentorship and opportunities to shape impactful policies and drive innovation in diverse fields.

Data Science and Simulation

The Centre of Competence for Data Science and Simulation (DSS) is a cross-departmental initiative. Our ambition is to develop infrastructure, tools and competences in in machine learning, big data, microsimulation and geoexperimentation to conduct excellent research and advise policy-makers as well as stakeholders.

cc-EXPAR - Competence Centre in Experimental and Participatory Research

The Competence Centre in Experimental and Participatory Research (EXPAR) is a cross-departmental initiative. Our ambition is to improve awareness of and skills in experimental and participatory research methods to strengthen LISER’s position at the forefront of internationally high quality, scientifically rigorous and societally relevant research.

Dual (LIS)2ER Seminar - Despina Gavresi and Ana Muñoz Fernandez

Series: (LIS)2ER Visitor Seminar Series

Dual (LIS)2ER Seminar - Despina Gavresi and Ana Muñoz Fernandez

When:

WED, 28 MAY 2025

From:

12:30 PM

To:

2:00 PM

The Legacy of Growing Up in a Recession on Attitudes Towards European Integration

Despina Gavresi, University of Luxembourg

In the midst of recurring crises and the rising appeal of populist movements, it is more crucial than ever to understand the factors that underpin EU cohesion and solidarity. This paper examines the long-term consequences of experiencing a recession on individual attitudes towards the European Union (EU). Using data from the European Social Survey (ESS), we demonstrate that individuals who have been exposed to multiple recessions throughout their lifetime tend to manifest lower trust in European institutions, are opposed to a deeper European integration, they are more inclined to support to leave EU and vote for Eurosceptic parties. Interestingly these results hold particularly in the face of asymmetric shocks experienced within the EU, where the results are statistically insignificant or even the opposite in the face of symmetric shocks. Via a series of robustness and heterogeneity checks, the paper underscores the significant and long-standing implications of past economic crises on shaping public attitudes towards the EU, suggesting that historical economic experiences matter and should be factored in policy-making to maintain EU cohesion.

An Assessment of Income Territorial Convergence Going Beyond Aggregate Measures: Case Study of Malaga City

Ana Muñoz Fernandez, University of Malaga

An analytical framework is proposed to study spatial income dynamics by combining classical measures of σ-convergence (reduction in income dispersion) and β-convergence (faster growth in poorer areas), linked through a re-ranking metric and interpreted under the ‘leave no one behind’ principle. This methodology identifies the contribution of each territorial unit to the three dimensions of distributional change: σ-convergence, β-convergence, and re-ranking, while also distinguishing the influence of neighbouring versus non-neighbouring units.

Income convergence is analyzed across census tracts in Malaga, Spain’s sixth-largest city, for the periods before and after the COVID-19 pandemic. Findings indicate that income convergence improved between 2015 and 2019 but was interrupted during the first year of the pandemic, affecting certain census tracts. Results are further grouped by deciles and districts composed of specific census tracts for a more detailed analysis. The impact of spatial proximity on regional convergence and its components is examined, highlighting the essential role of spatial factors in the convergence process

(LIS)2ER Visitor Seminar Series

If you have any questions about the event, please contact us.

Event organizer:

Dr. Kun Lee

kun.lee@liser.lu

Partners: