Economics

Faculty

CV
FENG Yingjie

Economics    Associate Professor

Phone:(86) (10) 62789957

E-mail:fengyj@sem.tsinghua.edu.cn

Office:LiHua Building B628

Office Hours:Thursday 11:00-12:00 or by appointment

Educational Background

2019  Ph.D. in Economics, University of Michigan
2019  M.A. in Statistics, University of Michigan
2014  M.A. in Economics, Peking University
2011   B.A. in Economics, Peking University

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Work Experience

2024--present    Associate Professor, Tsinghua University

2021--2024        Assistant Professor, Tsinghua University

2019--2021        Postdoctoral Research Associate, Princeton University


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Courses

Introductory Econometrics I (undergraduate)

Advanced Econometrics II (graduate)

Applied Microeconometrics (graduate)

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Research Areas

Theoretical and Applied Econometrics, Mathematical Statistics, Data Science

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Publications

1. "Uncertainty Quantification in Synthetic Controls with Staggered Treatment Adoption," with Matias Cattaneo, Filippo Palomba, and Rocío Titiunik. Review of Economics and Statistics, forthcoming.


2. "Uniform Inference for Kernel Density Estimators with Dyadic Data," with Matias Cattaneo and William Underwood. Journal of the American Statistical Association, 119(524): 2695-2708, December 2024.


3. "On Binscatter," with Matias Cattaneo, Richard Crump, and Max Farrell. American Economic Review, 114(5): 1488-1514, May 2024.


4. "Prediction Intervals for Synthetic Control Methods," with Matias Cattaneo and Rocío Titiunik. Journal of the American Statistical Association, 116(536): 1865-1880, December 2021.


5. "Large Sample Properties of Partitioning-Based Series Estimators," with Matias Cattaneo and Max Farrell. Annals of Statistics, 48(3): 1718-1741, June 2020.


6. "scpi: Uncertainty Quantification for Synthetic Control Methods," with Matias Cattaneo, Filippo Palomba, and Rocío Titiunik. Journal of Statistical Software, forthcoming.


7. "Binscatter regressions," with Matias Cattaneo, Richard Crump, and Max Farrel. Stata Journal, 25(1): 3-50, March 2025.


8. "lspartition: Partitioning-Based Least Squares Regression," with Matias Cattaneo and Max Farrell. R Journal 12(1): 172-187, June 2020.


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