When Is Neyman-Orthogonal Inference Feasible? Existence and Relevance, with Facundo Argañaraz, 2026. 

Debiased Machine Learning U-Statistics, with Joël R. Terschuur,  June 2026, conditionally accepted at the Review of Economic Studies.

Identification and Estimation in Fuzzy Regression Discontinuity Designs with Covariates, with C. Caetano and G. Caetano, 2026, conditionally accepted at the Review of Economic and Statistics.

Automatic Locally Robust Estimation with Generated Regressors, with Telmo Perez-Izquierdo, 2026.  New version!

Debiased Machine Learning for Unobserved Heterogeneity: High-Dimensional Panels and Measurement Error Models,  with Facundo Argañaraz, 2025.

Goodness-of-Fit Tests for Censored and Truncated Data: Maximum Mean Discrepancy Over Regular Functionals, with Jacobo de Uña-Alvarez, 2026.

Robust Minimum Distance Inference in Structural Models, with Joan Alegre, Oct. 2023.