I'm a data scientist at Insee.

I work on econometric and machine learning methods for policy evaluation. You can find my research projects here. The following topics are a sample of current projects that I'm working on, whether related to my research or to something more applied related to my job:

  • synthetic control,

  • high-dimensional statistics,

  • applications of machine learning to causal inference,

  • NLP for product classification,

  • applications of machine learning to duration analysis.

I hold a PhD in Economics from Université Paris-Saclay, prepared at CREST/ENSAE Paris under the supervision of Xavier D'Haultfoeuille. I was visiting the IQSS at Harvard University during summer 2016 and the Department of Economics of the MIT during summer 2018, invited by Alberto Abadie both times.


Document de travail Insee "L'économétrie en grande dimension": www.insee.fr/fr/statistiques/4923129

The "Machine Learning for Econometrics" lecture notes (175 pages) are now available online, see the "Teaching" section.

Contact information:

jeremy [dot] l [dot] hour at ensae [dot] fr

github page

Linkedin profile

You can download my CV here.