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.

Measuring Intersectional Disadvantage

Seminar

Series: SEMILUX - Monthly Seminar on Social Inequality and Public Policies

English

Measuring Intersectional Disadvantage

When:

WED, 22 APR 2026

From:

3:30 PM

To:

5:00 PM

Where:

Hybrid

The University of Luxembourg, LIS Datacenter and LISER invite you for a hybrid session of the monthly seminar on social inequality and public policies, which will be held ONLINE and IN-PERSON.

Measuring intersectional disadvantage

Intersectionality describes how multiple social identities such as race, gender, and class interact with each other to produce unique forms of disadvantage. In this paper, we axiomatically characterize measures of intersectional disadvantage. To our knowledge, we are the first to do so. We discuss the relationship between our measures and interaction terms in linear regressions, and apply our measures to the US context using administrative data

Webex link: https://unilu.webex.com/unilu/j.php?MTID=md7cd6708f09bc86bc3ddd3f5008738f4

Speaker

Domenico Moramarco

University of Bari "Aldo Moro''

Domenico Moramarco is an Assistant Professor at the Department of Economics and Finance, University of Bari "Aldo Moro''. Previously, he was a Research Fellow F.R.S.-FNRS at Université Libre de Bruxelles (ECARES). He earned a PhD in Economics from Université Libre de Bruxelles, after completing a previous PhD in Economics, Management and Quantitative Methods at the University of Salento, and a Research Master in Economics at Université catholique de Louvain. His research lies at the intersection of public economics and welfare economics, with a particular focus on distributive justice, equality of opportunity, inequality (uni- and multidimensional), poverty, social mobility, and individual and collective well-being measurement. His interests also include family economics (intra-household inequality and collective models of choice), social preferences, health and education, matching theory, and machine learning.

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