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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.


News:

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.