Yingyao Hu
Visiting Professor of Economics
Research Interests
Professor Hu's teaching and research interests include micro-econometrics, empirical industrial organization, labor economics, and machine learning. In micro-econometrics, his research has focused on the nonparametric identification and estimation of measurement error models, mixture models, panel data model with fixed effects or unobserved covariates, and, generally, microeconomic models with latent variables. Professor Hu is particularly interested in application-oriented econometrics, where the econometric methods are closely integrated with the economic theory or story.
In addition to his position at MBZUAI, Professor Hu is a professor of economics at Johns Hopkins University, where he has worked since 2007. Before joining Hopkins, he was an assistant professor of economics at the University of Texas at Austin for four years. He is a Hopkins alumnus with an MSE in mathematical sciences and an MA in economics in 2001, and a Ph.D. in economics in 2003. He also studied at Michigan State University, Fudan University in Shanghai, and Tsinghua University in Beijing.
Ph.D. in Economics, Krieger School of Arts and Sciences, Johns Hopkins University
Master of Science in Engineering in Mathematical Sciences, Whiting School of Engineering, Johns Hopkins University
Master of Arts in International Finance, School of Economics, Fudan University
Bachelor of Engineering in Management Information Systems, School of Economics and Management, Tsinghua University
Fellow of the Journal of Econometrics, 2013 – present
- Misclassification and the hidden silent rivalry (with Zhongjian Lin), Journal of Econometrics, forthcoming
- Estimating treatment effects of the one-child policy: A self-report approach (with Fangzhu Yang), Journal of Population Economics, 2025, 38(4), 1-23.
- Online time series forecasting with theoretical guarantees (Zijian Li, Changze Zhou, Minghao Fu, Sanjay Manjunath, Fan Feng, Guangyi Chen, Yingyao Hu, Ruichu Cai, Kun Zhang), The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)
- Nonparametric factor analysis and beyond (Yujia Zheng, Yang Liu, Jiaxiong Yao, Yingyao Hu, Kun Zhang), Proceedings of the 28th International Conference on Artificial Intelligence and Statistics (AISTATS 2025), PMLR: Volume 258.
- A generalized model of misclassification errors and labor force dynamics (with Shuaizhang Feng and Jiandong Sun), Journal of Labor Economics, Volume 43, Number S1, April 2025
- Simple closed-form estimation of a binary latent variable model (with Jingrong Li, Ji-Liang Shiu, and Matthew Shum), The Econometrics Journal, Volume 28, Issue 2, May 2025, Pages 198–218.