News
When machine learning meets econometrics\(—\)and makes the news.
My paper Ordered correlation forests was featured in the Italian newspaper Il Messaggero.
My paper Ordered correlation forest has been recognized with the Emerging Econometrician Award.
The award is presented to the best paper published in Econometric Reviews by scholars within seven years of their Ph.D.
What if your outcome variable is not an actual number?
• Health: poor → fair → good → excellent
• Job quality: temporary → permanent → managerial
• Satisfaction: very dissatisfied → very satisfied
My paper Causal inference for qualitative outcomes, now published in Econometric Reviews, shows how to do causal inference with qualitative outcomes.
What if ordered outcomes were not forced into a logit or probit box?
Think of self-reported health, life satisfaction, or well-being scales.
Popular models impose strong parametric assumptions\(—\)often without much justification.
My paper Ordered correlation forest, now published in Econometric Reviews, introduces a machine-learning approach that handles ordered outcomes flexibly and delivers valid inference without assuming a specific error distribution.