Agapito E. Santangelo
Causal inferencePolicy evaluationDigital data & ML
Applied economist · PhD — University of Molise
I am an applied economist: I evaluate public policies with causal inference, unconventional digital data and machine learning.
Much of my recent work studies how digitalisation transforms the public sector — from EU cohesion funds to municipal digital services — using difference-in-differences designs, panel data and archived web traces. I also work on health, institutions and territorial dynamics.
I also work as a Data Analysis Strategist at Instant Analytics, applying text mining and machine learning to real-time monitoring of socioeconomic phenomena: a useful complement to my academic research, because it shows how these methods behave in practice.
I hold a PhD in Economics from the University of Molise with the Doctor Europaeus distinction, including a visiting period at the Universitat Politècnica de València. I serve as a reviewer for PLOS ONE.
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Featured research
Policy evaluation · Digitalisation EU Cohesion Policy and Digital Public Services Effects of cohesion funds on municipal digital services, using archived web data and quasi-experimental methods. Job Market Paper. Under review
Institutions · Governance Administrative Capture from Within What does administrative capture do to institutions — and can we foresee it? Presented at AISRe 2026. Ongoing
Infrastructure · Transport Competition Without Punctuality Gains Competition in Italian high-speed rail did not improve punctuality: causal evidence. Under review
Health · Public economics Fiscal Constraints and Health Inequality Research Do fiscal constraints shape research on health inequality? A bibliometric perspective. Working paper