Research
Publications
On Binscatter, with Matias D. Cattaneo, Richard K. Crump and Max H. Farrell.
American Economic Review, 114(5): 1488-1514, May 2024. | Supplement | arXiv | Replication
Uniform Inference for Kernel Density Estimators with Dyadic Data, with Matias D. Cattaneo and William Underwood.
Journal of the American Statistical Association, forthcoming. | Supplement | arXiv | Replication | Julia package
Prediction Intervals for Synthetic Control Methods, with Matias D. Cattaneo and Rocio Titiunik.
Journal of the American Statistical Association, 116(536): 1865-1880, December 2021. | Supplement | arXiv | Replication
Large Sample Properties of Partitioning-Based Series Estimators, with Matias D. Cattaneo and Max H. Farrell.
Annals of Statistics, 48(3): 1718-1741, June 2020. | Supplement | arXiv | Replication
Working Papers
Optimal Estimation of Large-Dimensional Nonlinear Factor Models.
Supplement | arXiv | Replication
Causal Inference in Possibly Nonlinear Factor Models.
Supplement | arXiv | Replication
Uniform Inference for Nonparametric Partitioning-Based M-Estimators, with Matias Cattaneo and Boris Shigida.
Supplement | arXiv | Replication
Nonlinear Binscatter Methods, with Matias D. Cattaneo, Richard K. Crump and Max H. Farrell.
Supplement | arXiv | Replication
Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption, with Matias D. Cattaneo, Filippo Palomba and Rocio Titiunik.
Supplement | arXiv | Replication
Statistical Software Articles
scpi: Uncertainty Quantification for Synthetic Control Methods, with Matias D. Cattaneo, Filippo Palomba and Rocio Titiunik.
Journal of Statistical Software, forthcoming. | arXiv | Software
Binscatter Regressions, with Matias D. Cattaneo, Richard K. Crump and Max H. Farrell.
Stata Journal, revise and resubmit. | arXiv | Software
lspartition: Partitioning-Based Least Squares Regression, with Matias D. Cattaneo and Max H. Farrell.