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This call for proposals is in the context of the (LIS)2ER initiative – an institutional collaboration between the LIS Data Center in Luxembourg (LIS) and the Luxembourg Institute for Socio-Economic Research (LISER). Both institutions are located in the Maison des Sciences Humaines at Belval Campus in Luxembourg.
The collaboration aims to foster collaborative research on Policies to Fight Inequality. Grants for research visits is one of the instruments in place to this end. Research proposals can be submitted by individual researchers or by small teams of up to three researchers. Applicants from any level of seniority will be considered and we hope to strike a balance between junior and senior visitors.
Visitors will be hosted on LIS or LISER premises and will have privileged access to LIS and LWS microdata on-site in a secure data access lab for the duration of their visit.
We expect visitors to engage with local researchers at the LISER, LIS and the University of Luxembourg – all based on campus. (Potential or foreseen collaboration with local researchers will be a key criterion for the selection of proposals.)
Two calls are currently open:
- Senior Fellowship at LIS and LISER: all the information related to this call is available here.
- Research Stays at LIS and LISER: all the information related to this call is available here.
More information about the (LIS)2ER Initiative past visitors is available here.
Microdata Expert – REF LIS-STATEC
Preferred starting date : February 2025
Contract
- 6.5 months fixed-term contract (replacement maternity / parental leave)
- Full-time; (Part-time 32h a week is also possible, for a more extended period.)
Your mission
The position involves supporting the National Statistical Office of Luxembourg (STATEC) in the production of the national EU-SILC data:
- Update, test and preparation of the survey questionnaire
- Data checking and validation
- Imputation of missing income components
- Gross-net tax calculations
- Computation of sampling weights
- Construction of the final datasets to be transmitted to Eurostat
- Writing a quality report and documentation of the whole process
This position also involves contributing to methodological work using microdata from other STATEC surveys:
- Estimation of mode effect
- Matching income, consumption and wealth
Your profile
- The successful candidate will have an MA in statistics, sociology, economics, econometrics, demography, or another social science.
- Familiarity with the EU-SILC data and the commonly agreed EU indicators is a strong asset.
- Extensive experience working with microdata using SAS, STATA or R statistical software, as well as attention to detail.
- Command of written and spoken English or French.
Location:The work is to be performed at the new STATEC premises in Esch Belval.
Interested?
Applicants should submit a cover letter and a Curriculum Vitae to Ms. Lucie Scapoli, search@lisdatacenter.org.
Please make sure to specify the REF of the job position in the subject of your email.
Applications will be considered until the position is filled.
by Sylwia Radomska, (Institute of Economics, Polish Academy of Sciences; FAME|GRAPE) and Eva Sierminska, (LISER; Institute of Economics, Polish Academy of Sciences)
The share of single-parent households has grown globally since 1980, with these households facing greater poverty and holding substantially less wealth as compared to two-parent households. Using data from 13 countries in the LWS Database, this article by Sylwia Radomska and Eva Sierminska highlights disparities in wealth across household types and education systems, emphasizing how private education financing exacerbates inequalities, particularly for single parents.
Full article is available here.
by Pablo Arriagada and Joe Hassell (Our World in Data)
Our World in Data (OWID) has developed three interactive Data Explorers—Poverty, Inequality, and Incomes Across the Distribution—now accessible on the Luxembourg Income Study (LIS) website. Designed for a general audience, these tools provide intuitive access to key income indicators enhancing our understanding of global income trends. The Explorers prioritize simplicity, offering concrete metrics like average income by decile and avoiding technical jargon.
Full article is available here.
by Carmen Petrovici, (LIS)
Household structures vary significantly across countries and cultures. This article by Carmen Petrovici introduces the new household typology from the Luxembourg Income Study (LIS). Carmen takes a broad look at the predominant types of household in different welfare states in Europe and in selected countries in different parts of the world, with a focus on data around 2021.
Full article is available here.
LIS is pleased to announce a collaboration with Our World in Data (OWID), integrating comprehensive inequality and poverty indicators into the LIS website. This partnership enhances access to detailed data on poverty, inequality, and income distribution, facilitating in-depth analysis and cross-national comparisons.
Over the last years, OWID has developed three interactive Data Explorers—Poverty, Inequality, and Incomes Across the Distribution—which are now accessible through the LIS platform. These tools utilize harmonized datasets from the LIS Databases, providing users with a seamless experience to explore after-tax (‘disposable household income’) and before-tax (‘market income’) measures across various countries and time periods. The data is standardized in constant 2017 international dollars, ensuring accurate comparisons of living standards globally.
This integration underscores LIS’s commitment to advancing research on socio-economic outcomes by offering robust, user-friendly resources that support policymakers, researchers, and the public in understanding and addressing economic disparities. More information about the tool and its features can be found here.
LIS would like to extend its acknowledgment to the entire OWID team, particularly Joe Hasell and Pablo Arriagada, for their invaluable efforts in incorporating indicators derived from LIS microdata into the OWID platform.
We are excited to announce that registration is now open for the 2nd III/LIS Comparative Economic Inequality Conference, taking place in Luxembourg on 27–28 February 2025. This event will be hosted at the Coque and Helix venues, featuring an array of distinguished speakers, thought-provoking keynote lectures, and engaging parallel sessions.
The conference will cover critical topics, including:
- Earnings, gender, and global inequality
- Intergenerational mobility and wealth distribution
- The role of policies in addressing inequality and poverty
- Innovations in inequality measurement and methods
Over 80 research papers covering these topics will be presented across seven parallel sessions during the conference. In addition, the conference is highlighted by two keynote lectures by leading experts: Prof. Nora Lustig (Tulane University) and Prof. Fabian Pfeffer (LMU Munich).
The conference will feature a special evening event ,a book presentation on Visions of Inequality: From the French Revolution to the End of the Cold War, the highly praised recent new work by Prof. Branko Milanovic of the Stone Center on Socio-Economic Inequality at the Graduate Center of the City University of New York. Professor Milanovic will present highlights from his most recent book.
This event will be moderated by Prof. Francisco Ferreira from the International Inequalities Institute at the London School of Economics and Prof. Janet Gornick of the Stone Center. A cocktail reception will follow, offering attendees the opportunity to network and discuss insights from the evening.
Please find the Conference Programme here.
Attendance is for free but registration is mandatory from this link. [Deadline: Wednesday 15th January].
Please note that this is an in-person event and virtual attendance is not possible.
We are thrilled to announce the release of a new 2024 LIS template featuring improved variables and several exciting additions designed to enhance the quality and usability of our data. These updates reflect our ongoing commitment to delivering high-quality, harmonized datasets on income and wealth for the global research community.
A central motivation for this revision was to improve the section of Household Composition and Living Arrangements, a vital component of social and economic analysis. The classification of household composition has been revisited to address limitations in the previous version. The newly introduced concept of ‘dependent child’, whereby both age and enrollment in continuous education are considered, provides a clearer categorization for the family nucleus. Additionally, the new household type variable now emphasizes the family nucleus rather than relying on the ‘reference person’ (formerly ‘household head’). This shift enables more accurate classification of household types, particularly single-parent households with dependent children, which is further supported by the addition of a new lone-parent variable at the individual level. In addition, LIS is now providing pointers to the partner and both parents, when available in the source data. Altogether, these enhancements enable researchers to more accurately capture complex family structures, including multigenerational households, extended families, and lone-parent families, thereby providing a clearer and more nuanced picture of living arrangements.
As part of this restructuring, the construction of the variables relation and marital also underwent minor revisions. These include adjustments in how certain categories are treated and the reorganization of detailed categories into broader groupings.
The Labour Market variables have also been improved. A new monthly wage variable has been introduced, and hourly wage has been streamlined to integrate both net and gross hourly wages. Additionally, a new occupation variable has been added to enable clear differentiation between data based on the ISCO-88 and ISCO-08 international standards.
The section Geography and Housing was extended by information on the number of rooms available for the household; the variable own no longer provides the sub-categories of free-housing.
In the LWS database, several new variables are added to the Assets and Liabilities. These will allow users to distinguish between transaction accounts and cash versus saving accounts, separate publicly traded stocks from other equity, and analyse money owed to the household more thoroughly.
Please note that as of today, all datasets in the LIS, LWS, and ERFLIS databases are available in the new 2024 LIS template and accessible through LISSY. For our curious microdata users, we have prepared a comprehensive document outlining the key changes to the LIS variables available here.
We invite you to explore these updates and take full advantage of the enhanced 2024 LIS template!
LIS is happy to announce the following data updates:
- Brazil (8 new LIS datasets) – Addition of BR90, BR92, BR93, BR95-BR99 to the LIS Database
Read more » - Canada (1 new LIS dataset) – Addition of CA20 to the LIS Database
Read more » - Georgia (1 new LIS dataset) – Addition of GE22 to the LIS Database
Read more » - Japan (10 new LIS datasets) – Annualisation from JP08 to JP20 in the LIS Database
Read more »
Click on `Read more’ to access more details on the newly added and revised datasets 
