Replication files and illustration codes using NP Packages.
This work was supported in part by the National Science Foundation through grants SES-1459931, SES-1947805 and SES-2019432, and by the National Institutes of Health through grant R01 GM072611-16.
Cattaneo, Crump, Farrell and Feng (2024): Nonlinear Binscatter Methods.
Working paper.
Cattaneo, Feng, Palomba and Titiunik (2024): Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption.
Working paper.
Cattaneo, Chandak, Jansson and Ma (2022): lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators.
Working paper.
Cattaneo, Crump, Farrell and Feng (2024): On Binscatter.
American Economic Review, conditionally accepted.
Cattaneo, Chandak, Jansson and Ma (2024): Boundary Adaptive Local Polynomial Conditional Density Estimators.
Bernoulli, forthcoming.
Cattaneo, Jansson and Ma (2024): Local Regression Distribution Estimators.
Journal of Econometrics 240(2): 105074.
Calonico, Cattaneo and Farrell (2022): Coverage Error Optimal Confidence Intervals for Local Polynomial Regression.
Bernoulli 28(4): 2998-3022.
Cattaneo, Jansson and Ma (2022): lpdensity: Local Polynomial Density Estimation and Inference.
Journal of Statistical Software 101(2): 1-25.
Cattaneo, Farrell and Feng (2020): Large Sample Properties of Partitioning-Based Series Estimators.
Annals of Statistics 48(3): 1718-1741.
Cattaneo, Jansson and Ma (2020): Simple Local Polynomial Density Estimators.
Journal of the American Statistical Association 115(531): 1449-1455.
Calonico, Cattaneo and Farrell (2019): nprobust: Nonparametric Kernel-Based Estimation and Robust Bias-Corrected Inference.
Journal of Statistical Software 91(8): 1-33.
Calonico, Cattaneo and Farrell (2018): On the Effect of Bias Estimation on Coverage Accuracy in Nonparametric Inference.
Journal of the American Statistical Association 113(522): 767-779.