Dr Chaowen Zheng

-
0118 378 4897
-
Lecturer in Economics
Module Convenor for Econometric Methods and Advances in Causal Inference
Office
194Building location
Edith MorleyAreas of interest
Panel Data Econometrics
Economic/Financial Network Analysis
Machine Learning in Econometrics/Causal Inference
Postgraduate supervision
I am happy to (co) supervise PhD students interested in either applied or theoretical econometrics
Background
I joined the University of Reading in 2022, before that I received my PhD in Economics from the University of York.
I am an experienced researcher in various areas of econometrics and their applications. The high quality of my research has been demonstrated by my publications in internationally acclaimed economics journals including the Journal of Econometrics, and Journal of Business & Economic Statistics.
Academic qualifications
PhD in Economics, University of York
BSc and MSc in Economics, Hunan University, China
Awards and honours
PhD in Economics, University of York
BSc and MSc in Economics, Hunan University, China
Websites/blogs
Personal website:
https://sites.google.com/view/chaowensite/home
ResearchGate
https://www.researchgate.net/profile/Chaowen-Zheng
Publications
- Xu, X. , Wang, W. , Shin, Y. , Zheng, C. (2022) Dynamic network quantile regression model. Journal of Business and Economic Statistics ISSN: 0735-0015 | doi: https://dx.doi.org/10.1080/07350015.2022.2093882
- Chen, J. , Shin, Y. , Zheng, C. (2022) Estimation and inference in heterogeneous spatial panels with a multifactor error structure. Journal of Econometrics , 229 (1). pp. 55-79. ISSN: 0304-4076 | doi: https://dx.doi.org/10.1016/j.jeconom.2021.05.003
- Li, H. and Zheng, C. (2018) Unit root quantile autoregression testing with smooth structural changes. Finance Research Letters , 25 pp. 83-89. ISSN: 1544-6123 | doi: https://dx.doi.org/10.1016/j.frl.2017.10.008
- Li, H. , Zheng, C. , Guo, Y. (2016) Estimation and test for quantile nonlinear cointegrating regression. Economics Letters , 148 pp. 27-32. ISSN: 0165-1765 | doi: https://dx.doi.org/10.1016/j.econlet.2016.09.014