HypeRent
Constance Uyttebrouck ( Department Urban Development and Mobility) for the project: « Hyper-commodified rental housing: Emergence of short-term, shared and digitized housing products as new accumulation modes in Luxembourg, HypeRent »
Funding amount: 529.000 €
Start/end date : 01.01.2025-31.12.2027
Description of project: The HypeRent project will investigate ‘hyper-commodified housing products’ (HCHPs), i.e. emerging, flexible rental housing forms catering primarily to young, international workers and resulting from the institutionalisation and professionalisation of short-term and shared housing arrangements using digitised management. The project aims to understand the emergence of these products (focusing on coliving, STR and high-density shared housing) and inform policymakers about their risks, using Luxembourg as a case study. The HypeRent project will explore how and why HCHPs both result from and contribute to a triple crisis of competitiveness (state), profitability (market) and affordability (community). It will contribute to understanding the strategies and behaviours of new real estate intermediaries, government support for emerging housing forms, and HCHPs’ effects on tenants in terms of exclusion and inequality.
Collaborators:
Uyttebrouck, Constance - Principal Investigator (PI)
Licheron, Julien - Research Associate
Zieba-Kulawik, Karolina - Research Associate
Gorczynska-Angiulli, Magdalena - Research Scientist
Paccoud, Antoine - Research Scientist
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POLHOUSING
Guillaume Bérard (Department Living Conditions) for the project: Political Economy And Public Policy Evaluation Of Housing POLHOUSING
Funding amount: 677.000 €
Start/end date: 01.01.2025- 30.09.2027
Description of project: This project investigates the impact of housing policies in France and Luxembourg, focusing on tax-based interventions (transfer taxes, property/land taxes, tax on mobilization, and tax on unoccupied housing) designed to address housing market challenges such as rising prices, shortages, and vacancies. The key research question is how effectively these policies achieve their goals and what their causal effects are on economic outcomes like transaction volumes, sales prices, tax revenues, and housing/land supply – but also on socio-economic outcomes including immigration, crime and spatial segregation. The methodology is based on econometric methods and intensive empirical work, with the conjoint use of surveys and comprehensive administrative data, to ensure that findings and policy recommendations are as accurate and appropriate as possible.
In a nutshell, the project’s findings will contribute to the policy debates on the housing public policy and housing-related issues, and provide a toolbox for policymakers to implement the optimal housing policies, to solve the housing crisis and improve the allocation of resources (housing and land).
Collaborators:
Bérard, Guillaume - Principal Investigator (PI)
Peluso, Eugenio - Scientific Advisor
Paccoud, Antoine - Research Associate
Licheron, Julien - Research Associate
Andreoli, Francesco - Scientific Advisor
Maniquet, François - Scientific Advisor
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TechnoD
Massimo Morelli (Department Living Conditions) for the project: Technodiscrimination (TechnoD)
Funding amount: 675.000 €
Start/end date: 01.03.2025.- 31.05.2027
Description of the project: TechnoD investigates how artificial intelligence (AI) contributes to discrimination in hiring practices, particularly along ethnic, linguistic, and gender lines. Discrimination in the labor market threatens social cohesion and perpetuates inequality.
The project combines theoretical modeling, data-driven analysis, and experimental AI interventions. It revisits classical economic models to distinguish between inequalities caused by effort and those driven by discrimination. Using real-world data from Luxembourg's Social Security System and job advertisement databases, researchers will employ advanced Natural Language Processing to detect biases in job ads over 20 years. Additionally, empirical experiments will measure how AI algorithms influence hiring decisions.
By addressing AI's role in labor market disparities, the project aims to support policy-makers in the development of strategies for fairer hiring practices, contributing to a more inclusive society in Luxembourg
Morelli, Massimo - Principal Investigator (PI)
Peluso, Eugenio - Senior Researcher
Verheyden, Bertrand - Research Associate
Menta, Giorgia - Research Associate
Munoz Herrera, Manu - Research Associate
Brant Chaves, Thiago - Junior Researcher
Docquier, Frédéric - Scientific Advisor
Gathmann, Christina - Scientific Advisor
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