LIANG CHEN (陈亮)
Associate Professor
Peking University HSBC Business School
Email: chenliang@phbs.pku.edu.cn
[Resume] [Google Scholar]
Associate Professor
Peking University HSBC Business School
Email: chenliang@phbs.pku.edu.cn
[Resume] [Google Scholar]
Econometric Theory (Factor Models, Panel Data, Quantile Regressions)
Applied Econometrics
2020 to 2025: Assistant Professor, Peking University HSBC Business School
2016 to 2020: Assistant Professor, Shanghai University of Finance and Economics
2013 to 2016: Postdoctral Research Fellow, Nuffield College, University of Oxford
2007 to 2013: Ph.D in Economics, Universidad Carlos III de Madrid
2003 to 2007: B.S. in Economics, Huazhong University of Science and Technology
Faster uniform convergence rates for deconvolution estimators from repeated measurements, with M. Zhang, Econometric Theory, 41.5 (2025): 1196-1228.
Common correlated effects estimation of nonlinear panel data models, with M. Zhang, The Econometrics Journal, 28.2 (2025): 295-317.
Two-step estimation of quantile panel data models with interactive fixed effects, Econometric Theory, 40.2 (2024): 419-446.
Heterogeneous predictive association of CO2 with global warming, with J. J. Dolado, J. Gonzalo and A. Ramos, Economica, 90.360 (2023): 1397-1421.
A simple estimator for quantile panel data models using smoothed quantile regressions, with Y. Huo, The Econometrics Journal 24 (2021): 247-263.
Quantile factor models, with J. J. Dolado and J. Gonzalo, Econometrica 89.2 (2021): 875-910. [Correction]
Set identification of panel data models with interactive effects via quantile restrictions, Economics Letters 137 (2015): 36-40.
Estimating the common break date in large factor models, Economics Letters 131 (2015): 70-74.
Detecting big structural breaks in large factor models, with J. J. Dolado and J. Gonzalo, Journal of Econometrics 180.1 (2014): 30-48.
Estimation of characteristic-based quantile factor models, with J. J. Dolado, J. Gonzalo and H. Pan.
Nonparametric quantile regressions for panel data models with large T, PHBS Working Paper No20210104.