Yuehao Bai
Scholar

Yuehao Bai

Google Scholar ID: 9tcii2cAAAAJ
Assistant Professor of Economics, University of Southern California
EconometricsEconomics
Citations & Impact
All-time
Citations
325
 
H-index
8
 
i10-index
8
 
Publications
20
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • (2025) “A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances” (with A. M. Shaikh and M. Tabord-Meehan), forthcoming in the Journal of Political Economy Microeconomics
  • (2025) “Inference in Experiments with Matched Pairs and Imperfect Compliance” (with H. Guo, A. M. Shaikh, and M. Tabord-Meehan), Journal of Business and Economic Statistics
  • (2024) “Inference in Cluster Randomized Trials with Matched Pairs” (with J. Liu, A. M. Shaikh, and M. Tabord-Meehan), Journal of Econometrics
  • (2024) “Inference for Matched Tuples and Fully Blocked Factorial Designs” (with J. Liu and M. Tabord-Meehan), Quantitative Economics
  • (2024) “Covariate Adjustment in Experiments with Matched Pairs” (with L. Jiang, J. P. Romano, A. M. Shaikh, and Y. Zhang), Journal of Econometrics
  • (2024) “Revisiting the Analysis of Matched-Pair and Stratified Experiments in the Presence of Attrition” (with M. H. Hsieh, J. Liu, and M. Tabord-Meehan), Journal of Applied Econometrics
  • (2023) “Why Randomize? Minimax Optimality under Permutation Invariance,” Journal of Econometrics
  • (2022) “Optimality of Matched-Pair Designs in Randomized Controlled Trials,” American Economic Review
  • (2022) “Inference in Experiments with Matched Pairs” (with J. P. Romano and A. M. Shaikh), Journal of the American Statistical Association
  • (2022) “A Two-Step Method for Testing Many Moment Inequalities” (with A. Santos and A. M. Shaikh), Journal of Business and Economic Statistics
  • (2021) “Inference for Support Vector Regression under ℓ₁ Regularization” (with H. Ho, G. A. Pouliot, and J. K. C. Shea), AEA Papers and Proceedings
  • Developed the R software package 'sreg: Stratified Randomized Experiments', available on CRAN and GitHub
  • Multiple working papers under review or revision, covering instrumental variables, monotonicity identification, efficiency of finely stratified experiments, etc.