Follow
Yingjie Feng
Yingjie Feng
Assistant Professor, Tsinghua University
Verified email at sem.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
On binscatter
MD Cattaneo, RK Crump, MH Farrell, Y Feng
arXiv preprint arXiv:1902.09608, 2019
1812019
Prediction intervals for synthetic control methods
MD Cattaneo, Y Feng, R Titiunik
Journal of the American Statistical Association 116 (536), 1865-1880, 2021
652021
Large sample properties of partitioning-based series estimators
MD Cattaneo, MH Farrell, Y Feng
The Annals of Statistics 48 (3), 1718-1741, 2020
552020
Binscatter Regressions
MD Cattaneo, RK Crump, MH Farrell, Y Feng
arXiv preprint arXiv:1902.09615, 2019
402019
The middle-income trap and China’s growth prospects
Y Feng, Y Yao
Deepening Reform for China’s Long-Term Growth and Development, China Update …, 2014
152014
Causal Inference in Possibly Nonlinear Factor Models
Y Feng
arXiv preprint arXiv:2008.13651, 2020
102020
Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption
MD Cattaneo, Y Feng, F Palomba, R Titiunik
arXiv preprint arXiv:2210.05026, 2022
82022
scpi: Uncertainty Quantification for Synthetic Control Estimators
MD Cattaneo, Y Feng, F Palomba, R Titiunik
arXiv preprint arXiv:2202.05984, 2022
82022
Uniform inference for kernel density estimators with dyadic data
MD Cattaneo, Y Feng, WG Underwood
Journal of the American Statistical Association, 1-27, 2023
52023
lspartition: Partitioning-based least squares regression
MD Cattaneo, MH Farrell, Y Feng
arXiv preprint arXiv:1906.00202, 2019
52019
“裁厘改统” 与民国时期市场整合——基于上海, 芜湖, 天津三地粮价的探讨
冯颖杰
经济学 (季刊) 11 (1), 83-114, 2012
32012
scpi: Uncertainty Quantification for Synthetic Control Methods
MD Cattaneo, Y Feng, F Palomba, R Titiunik
arXiv preprint arXiv:2202.05984, 2022
22022
Optimal Estimation of Large-Dimensional Nonlinear Factor Models
Y Feng
arXiv preprint arXiv:2311.07243, 2023
2023
On Nonparametric and Semiparametric Partitioning-Based Methods in Applied Microeconomics
Y Feng
2019
The system can't perform the operation now. Try again later.
Articles 1–14