Leading Paris-based economics research institution specializing in inequality measurement, behavioral economics, and socioeconomic policy analysis across EU sectors.
Paris School of Economics (PSE) is one of Europe's leading economics research institutions, specializing in applied economic analysis of inequality, wealth distribution, behavioral decision-making, and public policy evaluation. Their work bridges theoretical economics with real-world data — building distributional national accounts, analyzing health technology costs, and modeling how demographic and cultural factors shape energy transitions. They produce the kind of rigorous economic evidence that informs EU policy on taxation, healthcare access, trade agreements, and climate action.
Core expertise demonstrated through DINA (Distributional National Accounts, their largest grant at EUR 6M), CHNIEQ (wealth in China), MICROPROD (productivity and income inequality), and Econ_Prejudice (economics of ethnic prejudice).
LTCSEI investigates bounded rationality and heuristics in social interactions, INFORL applies reinforcement learning models to neuroeconomics, and Econ_Prejudice examines economic decision biases.
IMPACT HTA focused on health technology assessment costing and value methods, CBIG-SCREEN addresses cervical cancer screening cost-effectiveness, and GENDHI examines gender-based health inequalities.
Participated in SSHOC (Social Sciences Open Cloud), SoBigData++ (social mining infrastructure), and EURHISFIRM (historical company-level data for Europe).
TIPPING.plus examines demographic and cultural factors in clean-energy transitions; GREEN-WIN analyzed green growth strategies for climate action.
Third-party contributor to BATModel, working on partial and general equilibrium models for agri-food trade policy analysis.
In the early period (2015–2018), PSE focused on foundational economic theory — ethnic prejudice, bounded rationality, health technology assessment methods, and building historical company databases. From 2019 onward, their work shifted markedly toward large-scale data infrastructure (EOSC, social mining, open science platforms) and the socioeconomic dimensions of inequality and energy transitions, culminating in the EUR 6M DINA project on distributional national accounts. The trend is clear: from micro-level behavioral economics toward macro-level data systems that measure inequality and inform policy at European scale.
PSE is scaling up from project-level economic research toward building the permanent data infrastructure that European policymakers will use to track inequality, wealth distribution, and the social costs of energy transitions.
PSE operates as both a project leader and an active consortium partner in roughly equal measure (7 coordinator roles vs 8 participant roles), suggesting they are comfortable driving research agendas and contributing specialized economic expertise to others' projects. With 166 unique partners across 31 countries, they maintain a broad and diverse network rather than relying on a small circle of repeat collaborators. This makes them an accessible and well-connected partner — they know how EU consortia work and can plug into new teams without friction.
PSE has collaborated with 166 distinct partners across 31 countries, making them one of the more broadly connected economics institutions in H2020. Their network spans Western and Eastern Europe with reach into global partners, reflecting the international scope of inequality and trade research.
PSE brings world-class economics research to consortia that need rigorous socioeconomic analysis — whether the topic is energy transitions, health screening equity, or agricultural trade. Unlike pure policy institutes, they produce original quantitative research backed by ERC-level grants (including two Synergy Grants and a Consolidator Grant). For any consortium that needs to answer "what are the economic and social impacts?" with credible, peer-reviewed evidence, PSE is a top-tier European partner.
