Riccardo Di Francesco
Riccardo Di Francesco
Postdoctoral researcher in economics, University of Southern Denmark
I am an applied econometrician working on causal inference and causal machine learning. I develop tools for heterogeneous treatment effects and ordered outcomes, and I like to turn them into open-source R packages that other researchers can use.
My applied work looks at how economic and social environments shape worker health, team production, and social preferences. I use administrative registers, corporate disclosures, professional sports leagues, and online platforms.
Research interests
- Econometrics
- Causal inference
- Causal machine learning
- Health economics
- Labor economics