• Discover IRVAPP

    The Research Institute for the Evaluation of Public Policies
     
Latest news
  • 10 June 2026
    Nell’ambito dell’Azione 8 del Piano nazionale per la famiglia 2025-2027 (PNF), il Dipartimento per le politiche della famiglia della Presidenza del Consiglio dei ministri si avvale dell’Istituto per la ricerca valutativa sulle politiche pubbliche della Fondazione Bruno Kessler (FBK-IRVAPP) per la realizzazione di una rilevazione censuaria sulle politiche e i servizi attivi nei comuni italiani a sostegno della natalità e del benessere delle famiglie.
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  • 23 May 2026
    Federica Meluzzi, researcher at Bocconi University in Milan, is the winner of the 2026 FBK-IRVAPP “Beniamino Andreatta” Award for the best study on public policy evaluation. The ceremony took place at Fondazione Bruno Kessler in Trento and featured Enrico Letta, President of AREL – Agency for Research and Legislation, and Romano Prodi, President of Fondazione per la Collaborazione tra i Popoli.
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  • 21 May 2026
    His research focuses on social mobility, opportunity structures, sociology of education, and causal methods. He specializes in quantitative methodologies and causal inference, particularly in the study of gender and class differences in educational outcomes and over the life course.
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  • 31 March 2026
    FBK-IRVAPP and the Marco Biagi Department of Economics (DEMB) at the University of Modena and Reggio Emilia (UNIMORE) have signed a memorandum of understanding to develop joint collaborations in the field of public policy analysis and evaluation.
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Upcoming events
  • How do tax incentives for high-skilled migrants affect income inequality? This paper examines Italy's preferential tax regime (2016–2022) using microsimulation methods to reveal the distributional consequences — across Gini coefficients, top income shares, and tax progressivity — of policies designed to attract mobile talent.
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  • The Italian Econometric Association (SIdE-IEA) and FBK-IRVAPP are organizing a course on Panel Data for Causal Research Designs in Bertinoro, Italy. Designed for PhD students, researchers, and professionals, it covers panel data models, including Random and Fixed Effects, Two-way Fixed Effects as a bridge to Difference-in-Differences, Staggered and Block Designs, Synthetic Control Methods, and their combination with Difference-in-Differences. The course includes theoretical lectures, hands-on sessions using Stata, and applied econometrics exercises.
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