Giacomo Gabbuti

Giacomo Gabbuti serves as a Tenure-Track Researcher in Economic History at Sant'Anna School of Advanced Studies in Pisa, Italy. His academic foundation includes a DPhil in Economic History from the University of Oxford and prior studies at the University of Rome "Tor Vergata".

Education:

• University of Rome "Tor Vergata" (Undergraduate/Graduate)
• University of Oxford (DPhil in Economic History)

Research Focus: Gabbuti's work centers on economic inequality in Modern Italy, examining intellectual history of measurement, taxation debates, and Fascist-era economic policies. His methodology combines quantitative historical analysis with critical policy evaluation, particularly regarding wealth concentration and social mobility. Key contributions include reconstructing historical taxpayer databases and analyzing Fascist Italy's economic contradictions through archival tax records.

Publication Trends: Recent works (2022-2025) reveal three dominant threads: (1) Wealth/income inequality dynamics across Italian unification, wars, and Fascism; (2) Gendered economic analysis focusing on women's business roles and employment; (3) Critical examinations of measurement tools like HDI and composite indices in historical contexts. His scholarship bridges economic theory, political history, and quantitative methodology to challenge simplistic narratives about Fascist economic policies.

Scientific Recognition:

• No formal awards documented in provided sources

Academic Contributions: While student supervision details are unavailable, Gabbuti actively contributes to scholarly discourse through editorial work (including translations and volume editing) and critical engagement with foundational figures like Stefano Fenoaltea. His research relies on historical tax archives and interdisciplinary approaches to economic history without documented external grant funding.

Research Infrastructure: No dedicated labs or institutional research teams are referenced; his work appears conducted through Sant'Anna's academic framework using historical archives and collaborative networks.