Research
PUBLISHED PAPERS
A penalized synthetic control estimator for disaggregated data
with Alberto Abadie
Journal of the American Statistical Association, December 2021, 116(536), 1817–1834.
git repo and presentation slides
An alternative to synthetic control for models with many covariates under sparsity
with Marianne Bléhaut, Xavier D'Haultfoeuille and Alexandre Tsybakov
In: Belomestny, D., Butucea, C., Mammen, E., Moulines, E., Reiß, M., Ulyanov, V.V. (eds) Foundations of Modern Statistics. FMS 2019. Springer Proceedings in Mathematics & Statistics, vol 425. Springer, Cham.
WORK IN PROGRESS
Asymptotic properties of empirical quantile-based estimators
with Xavier D'Haultfoeuille and Martin Mugnier
Using generic machine learning to analyze treatment heterogeneity: an application to provision of job counseling
with Bruno Crépon, Esther Duflo and Elia Pérennès
CONFERENCES
Modélisation de l’appartenance au parc des véhicules routiers et de son utilisation
with Corentin Trevien
Journées de Méthodologie Statistique 2022.
WORKING PAPERS
Méthodologie pour l'estimation des parcs de véhicules et des distances parcourues
with Corentin Trevien and Guillaume Wemelbeke
Document de travail du Service des données et études statistiques, Mars 2024.
L'économétrie en grande dimension
Document de travail Insee, October 2020, M2020/01.
Distinguishing the confounding factors : variable selection in policy evaluation
CREST Working paper, June 2016.
PhD DISSERTATION
I defended my PhD on December 13, 2019. The dissertation is available here.
Media coverage: "La Méthode Scientifique", mer 3 mai 2017, France Culture
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My github page is available at jeremylhour and contains scripts related to these projects and more.