Working Papers & Under revision
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General Berry-Esseen bound for U-Statistics
with Matias Cattaneo and Michael Jasson.
Working Paper.
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Balancing Flexibility and Interpretability: A Conditional Linear Model Estimation via Random Forest
with Marcelo Medeiros.
Working Paper.
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Fixed-Point Solution via Estimation Techniques
with Victor Orestes.
Under Revision
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Higher-order Lindeberg Approximation
with Matias Cattaneo and William Underwood.
Working Paper.
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Graph-based framework for counterfactual analysis with spill-over effects
with Hongqi Chen and Marcelo Medeiros.
Working Paper.
Publications
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Sharp Anti-Concentration Inequalities for Extremum Statistics via Copulas
with Matias Cattaneo and William Underwood.
Bernoulli Journal, forthcoming.
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Higher-Order Refinements of Small Bandwidth Asymptotics for Density-Weighted Average Derivative Estimators
with Matias Cattaneo, Max Farrell and Michael Jansson.
Journal of Econometrics, 252(B):105855, November 2025.
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Yurinskii's Coupling for Martingales
with Matias Cattaneo and William Underwood.
Annals of Statistics, 53(5):2179-2203, October 2025.
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Distributional Counterfactual Analysis in High-Dimensional Setup.
Journal of Econometrics, 247(A):105675, May 2025.
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Constrained Polynomial Likelihood
with Caio Almeida and Paul Schneider.
Journal of Business & Economic Statistics, 43(2):482-493, October 2024.
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Bridging Factor and Sparse Models
with Jianqing Fan and Marcelo C. Medeiros.
Annals of Statistics, 51(4):1692-1717, August 2023.
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Do We Exploit all Information for Counterfactual Analysis? Benefits of Factor Models and Idiosyncratic Correction
with Jianqing Fan and Marcelo C. Medeiros.
Journal of the American Statistical Association, 117(538)574-590, January 2022.
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Counterfactual Analysis With Artificial Controls: Inference, High Dimensions and Nonstationarity
with Marcelo C. Medeiros.
Journal of the American Statistical Association, 116(536)1773-1788, September 2021.
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Regularized Estimation of High-Dimensional Vector AutoRegressions with Weakly Dependent Innovations
with Marcelo C. Medeiros and Eduardo Mendes.
Journal of Time Series Analysis, 43(4):532-557, July 2022.
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Machine Learning Advances for Time Series Forecasting
with Marcelo C. Medeiros and Eduardo Mendes.
Journal of Economic Surveys, 37(1):1-36, July 2021.
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Counterfactual Analysis and Inference with Nonstationary Data
with Marcelo C. Medeiros.
Journal of Business & Economic Statistics, 40(1)227-239, September 2020.
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ArCo: An Artificial Counterfactual Approach for High-Dimensional Panel Time-Series Data
with Carlos Carvalho and Marcelo C. Medeiros.
Journal of Econometrics, 207(2):352-380, December 2018.
Statistical Software Articles
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ArCo: An R package to Estimate Artificial Counterfactuals
with Yuri Fonseca, Marcelo C. Medeiros and Gabriel Vasconcelos.
R Journal,10(1):91-108, December 2018.