王钛宁 Taining Wang

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基本信息


王钛宁, 博士 (Ph.D)

长聘副教授 (Associate Professor)

个人网站 (Personal Web):694160821.wixsite.com/taining

电子邮件 (Email):taining.wang@cueb.edu.cn

办公室 (Office):诚明楼, 403

办公室电话 (Tel):(010) 8373-8948

English version of this page can be found from my Personal Web above.


研究方向


非参与半非参数回归模型与假设检验,非参数随机边界模型


教育背景


学历: 美国西弗吉尼亚大学经济学博士


工作经历


2022年9月至今, 长聘副教授, 国际经济管理学院, 首都经济贸易大学

2019年9月-2022年7月, 助理教授, 国际经济管理学院, 首都经济贸易大学

2016年8月-2019年, 讲师, 经济学院, 西弗吉尼亚大学

2014年8月-2015年, 经济与统计课的学生辅导, Business and Learning Resources Center, 经济学院,西弗吉尼亚大学


【教育经历】

2023 秋,首都经济贸易大学, 高级计量经济学

2022 秋,首都经济贸易大学, 高级计量经济学
2021 秋,首都经济贸易大学, 计量经济学前沿
2020秋,首都经济贸易大学, 应用多元统计

2019秋, 首都经济贸易大学, 高级计量经济学

2016-2019, 西弗吉尼亚大学, 讲师:中级宏观, 微观经济学原理, 宏观经济学原理, 经济学概论

2014-2016, 西弗吉尼亚大学, 助教: 本科或研究生的计量经济学或数量经济学练习课


科研成果


【文章发表

[14] Wang. T., Sun. K., Kumbhakar S. (2025). A New Semiparametric Stochastic Frontier Model: Addressing Inefficiency and Model Flexibility using Panel Data. Empirical Economics. Forthcoming.

[13] Huang Y-F., Wang. T., Kumbhakar S. (2025). Spillovers on the Mean and Tails: A Semiparametric Dynamic Panel Modeling Approach. Macroeconomics Dynamics. Forthcoming.

[12] Tian. J., Wang. T., & Yao. F. (2024) Debt and total factor productivity growth in Chinese industrial firms: Evidence from nonparametric panel threshold regression. Mathematica. 12 (23), 36-83.

[11] Huang Y., Liao W., Wang T., (2024). Does US Financial Uncertainty Spill Over through the (Asymmetric) International Credit Channel? The Role of Market Expectations. Journal of International Money and Finance. 148, 103-171.

[10] Wang. T., Yao. F., & Kumbhakar. S. (2024) A flexible stochastic frontier model with panel data. Journal of Applied Econometrics. 39(4), 564-588.

[9] Wang T., Henderson D.J., (2023). A semiparametric constant elasticity of substitution stochastic frontier model for panel data. Advances in Econometrics: Essays in Honor of Subal Kumbhakar, 47.

[8] Wang. T., Zhang. X., Tian. J. (2022) A consistent variable and model structure selection, Econometrics and Statistics.

[7] Wang. T., Henderson. D.J. (2022) Estimation of a varying coefficient, fixed-effects Cobb-Douglas production function in levels. Economic Letters, 1-8.

[6] Tian. J., Wang. T., & Hall. J. (2021) Exporting behavior and labor share in Chinese manufacturing industries: A semiparametric approach using Chinese manufacturing panel data. The World Economy, 1-39

[5] Yao. F., Wang. T. (2020) A nonparametric test of significant variables in gradients. Econometric Theory, 37(5), 959-1003.

[4] Wang. T., Tian. J., & Yao. F. (2020) Does high leverage ratio influence Chinese firm performance? A semiparametric stochastic frontier approach with zero-inefficiency. Empirical Economics, 61(2) 587-636.

[3] Wang, T., & Tian, J. (2018). Recasting the trade impact on labor share: a fixed-effect semiparametric estimation study. Empirical Economics, 58, 2465-2511.

[2] Yao, F., Wang, T., Tian, J., & Kumbhakar, S. C. (2018). Estimation of a smooth coefficient zero-inefficiency panel stochastic frontier model: A semiparametric approach. Economics Letters, 166, 25-30.

[1] Wang T. (2015) Book review for Hanushek E.A. and Woessmann L., The Knowledge Capital of Nations: Education and the Economics of Growth, MIT Press: Cambridge, MA, USA. The Review of Regional Studies, 2015, 45: 285-293.


【文章在审

Wang T., Yao F., Nowak, A. Understanding Real Estate Matches through a Semiparametric Panel Matching Model

Wang. T., Wang Z., Yao F., Kumbhakar S. Investment efficiency in China: A semiparametric panel model.

Wang. T., Wang Z., Yao F., Kumbhakar S., Jiang, T. Operational Efficiency and Stock Performance: New Evidence from a Semiparametric Panel Model.


【工作论文

Yao. F, Wang T., Ullah A. A nonparametric partial R-square test for significance of variables model structure.

Wang. Y., Henderson D.J., Soboron A. Estimation of partially linear varying trending coefficient Model with mixed panel data and cross sectional dependence.

Soboron A., Henderson D.J., Rodriguez-Poo, Wang T. Semiparametric varying coefficient model with selection bias and fixed effects.

Wang Q., Wu J., Wang T., Kumbhakar S. Nonparametric Bayesian estimation for mixed copula density.

Cai, J., Yao. F., Wang. T. A partially linear fixed effect stochastic frontier model with semiparametric error distribution

Wang T., Kumbhakar S. Estimating distribution-free semiparametric stochastic frontier with panel data and endogeneity

Wang T., Kumbhakar S. A new class estimator for nonparametric SUR model with different smoothing variables

Wang T., Wang Z. Is Tobin's Q nonlinear? Evidence from a smooth coefficient model with interactive fixed effects and measurement error.

Wang T., Wang Z. Earning management analysis through semiparametric panel model with two one-sided errors

Wang. T., Henderson. D., & Sun. K. Nonparametric and Semiparametric Panel Regression with Applications in Stochastic Frontier, R Package.


【项目经历

[1] 项目负责人, 2025/01-2027/12。基于高维面板模型的企业技术效率测度方法研究。青年项目。

[2] 项目参与人, 01/2024-12/2027。大数据舆情驱动下的能源经济系统建模与政策研究。面上项目。


【学术报告

Invited Session, WEAI, June, 2024.

Invited Session, Econometrics and Statistics, June, 2024.

Invited Session, Econometrics and Statistics, June, 2023.

Invited Session, CFE-CMStatistics, Dec, 2022.

Contributed Session, International Conference on Econometrics and Statistics, June, 2021.

Contributed Session, The 5th Econometric Workshop, Dongbei University of Economics and Finance, June, 2021.

Contributed Session, Southern Economic Association, Washington D.C., Nov, 2016-2017

Contributed Session, The Asian Meeting of the Econometric Society, China Meeting of the Econometric Society, The Chinese University of Hong Kong, The University of Wuhan, June, 2017-2018.

Invited session, Eastern Economic Association, New York City, March, 2019.

Invited session, International Conference on Econometrics and Statistics, Taiwan, June, 2018-2019.


社会兼职


学术职务

《Empirical Economics》副主编


【匿名审稿人 (Referee)

Contemporary Economic Policy, Economic Inquiry, Economic Modeling, Econometric Review, World Economy, Journal of Multivariate Analysis, Journal of Productivity Analysis, Macroeconomics Dynamics, Economic Letters, Empirical Economics, Applied Economics Letter.