Education
Ph.D. (Majored in Economics), Syracuse University, 2020.
M.S. (Majored in Quantitative Economics), Shanghai University of Finance and Economics, 2015.
B.E. (Majored in Mechanical Engineering), Shanghai Jiao Tong University, 2011.
Overseas Visiting and Training
2023.7-2023.9 Vrije University Amsterdam, the Netherlands
Courses Taught
Managerial Economics, Econometrics, Tax Supervision in the Big Data Era.
Industrial Experiences
One-year working experience in PSA China at Shanghai
Research Interests
Productivity Analysis, Program Evaluation, Industrial Policy Analysis
Representative Research Papers
1. Jun Cai, Bill Horrace, Christopher Parmeter. Penalized Sieve Density Estimation with An application to Zero-Inefficiency Stochastic Frontiers, Journal of Applied Econometrics, 2024, 39(1): 41-65
2. Jun Cai，L. Yang，Y. H. Zhou. Current Situation and Improvement in Methods of Program Evaluation: Some Thoughts Based on PSM-DID, Journal of Management Science in China,2024.
3. Jun Cai, Y. H. Zhou. A Simple Dynamic Panel Data Approach for Macro Policy Assessment, Applied Economics Letters, 2021, 28(17): 1505-1511 (SCI)
4. Jun Cai, Y. H. Zhou. A Dynamic Panel Data Approach and HCW's Method: Assessing the Effect of China (Shanghai) Free Trade Zone on Local GDP, Journal of Management Science and Engineering(《管理科学学报（英文版）》), 2021, 6(3): 249-267
5. Jun Cai, Qu Feng, William C. Horrace, Guiying Laura Wu. Wrong Skewness and Finite Sample Correction in Parametric Stochastic Frontier Models, Empirical Economics, 2021, 60(6): 2837-2866 (SCI)
6. Jun Cai, Bill Horrace, Christopher Parmeter. Density deconvolution with Laplace errors and unknown variance, Journal of Productivity Analysis, 2021. 56(2): 103-113 (SCI)
Representative Grants and Awards
1. “Panel Nonparametric Identification and Estimation of Conditional Heteroskedastic Frontiers” won a Second Prize in early career researcher “Best Paper Competition” at the European Workshop on Efficiency and Productivity Analysis (EWEPA) Conference, London 2019.
2. National Natural Science Foundation of China (grant no.72303074)，30,0000RMB， 2024-2026
3. The First Prize in Teaching Competition of HUST 2023
