Yu Bai, PhD in Economics and Finance (Finance track)


Release date:2024/08/13
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Yu Bai, PhD in Economics and Finance (Finance track)

Assistant Professor

 

 

Contact Details

Tel: 85902317

Email: yubai@cityu.edu.mo

 

Academic Qualifications

Ph.D. in Economics and Finance (Finance track), Bocconi University

Master in Quantitative Economics, Huazhong University of Science & Technology

Bachelor in Management (Major in Labor and Social Security), Shanxi University of Finance and Economics

 

Bibliography

Dr. Yu Bai is currently an Assistant Professor in the Faculty of Finance at City University of Macau. Previously, he first worked as a Ricercatore (Research Fellow) at Bocconi University, and then as a Research Fellow at Monash University.  His research interests are in Econometrics, both theoretical and applied, which are also his main teaching areas. His work has appeared in international journals, including Journal of Statistical Computation & Simulation, Journal of Applied Econometrics, and Econometrics & Statistics.

 

Teaching areas

Econometrics and Statistics courses at Undergraduate/Postgraduate/Ph.D. levels

 

Research areas

Theoretical Econometrics: Semiparametric and Nonparametric methods

Applied Econometrics: Bayesian Econometrics, Forecasting

 

Publications

1. Local GMM estimation for nonparametric time-varying coefficient moment condition models. (accepted) Journal of Time Series Analysis. 2025. https://doi.org/10.1111/jtsa.12822.

2.  Mean group instrumental variable estimation of time-varying large heterogeneous panels with endogenous regressors, with G. Kapetanios and M. Marcellino, forthcoming in the Econometrics & Statistics.

3.  Macroeconomic Forecasting in a Multi-country Context, joint with A. Carriero, T. E. Clark and M. Marcellino. Journal of Applied Econometrics, 37(6), 1230-1255, 2022. 

4. A Monte Carlo comparison of GMM and QMLE estimators for short dynamic panel data models with spatial errors, joint with Shaofu Zhou and Zhaoyuan Fan. Journal of Statistical Computation and Simulation, 88(2), 376-409, 2018.

 

Working papers

1. Nonparametric estimation and forecasting of time-varying parameter models. joint with B. Peng, S. Shi and W. Yao.  



 
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