Postdoctoral Researcher
Riccardo Di Francesco
University of Southern Denmark
I am an applied microeconomist working on health economics, labour economics, and econometrics. My empirical work studies how firms and labour markets shape worker health and behavior, drawing on data ranging from population-wide administrative registers to professional sports leagues and online platforms. My methodological work develops machine learning tools for heterogeneous treatment effects and ordered outcomes—problems that arise directly in my applied research.
Job market paper: Well-being salience in corporate disclosures and worker health Details →
Research interests
Recent news
Jan 2026
Aggregation trees published in Econometric Reviews.
Nov 2025
Ordered correlation forest featured in Il Messaggero · Awarded Emerging Econometrician award.
Oct 2025
Causal inference for qualitative outcomes published in Economics Letters.