3 papers
stat.ME2026
Balanced Twins: Causal Inference on Time Series with Hidden Confounding
Maha Ouali, Badih Ghattas, Emmanuel Flachaire +2
Accurately estimating treatment effects in time series is essential for evaluating interventions in real-world applications, especially when treatment assignment is biased by unobs…
econ.EM2025
Estimation in high-dimensional linear regression: Post-Double-Autometrics as an alternative to Post-Double-Lasso
Sullivan Hué, Sébastien Laurent, Ulrich Aiounou +1
Post-Double-Lasso is becoming the most popular method for estimating linear regression models with many covariates when the purpose is to obtain an accurate estimate of a parameter…
econ.EM2025
Decomposing Inequalities using Machine Learning and Overcoming Common Support Issues
Emmanuel Flachaire, Bertille Picard
The Kitagawa-Oaxaca-Blinder decomposition splits the difference in means between two groups into an explained part, due to observable factors, and an unexplained part. In this pape…