Qingliang (Michael) Fan
|First Name:||Qingliang (Michael)|
Wang Yanan Institute for Studies in Economics (WISE) Fujian, China
RePEc:edi:wixmucn (more details at EDIRC)
Research outputJump to: Articles
- Tao Chen & Qingliang Fan, 2018. "A functional data approach to model score difference process in professional basketball games," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(1), pages 112-127, January.
- Qingliang Fan & Wei Zhong, 2018. "Nonparametric Additive Instrumental Variable Estimator: A Group Shrinkage Estimation Perspective," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(3), pages 388-399, July.
- Fan, Qingliang & Wang, Ting, 2017. "The impact of Shanghai–Hong Kong Stock Connect policy on A-H share price premium," Finance Research Letters, Elsevier, vol. 21(C), pages 222-227.
- Caner, Mehmet & Fan, Qingliang, 2015. "Hybrid generalized empirical likelihood estimators: Instrument selection with adaptive lasso," Journal of Econometrics, Elsevier, vol. 187(1), pages 256-274.
CitationsMany of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.
- Fan, Qingliang & Wang, Ting, 2017.
"The impact of Shanghai–Hong Kong Stock Connect policy on A-H share price premium,"
Finance Research Letters,
Elsevier, vol. 21(C), pages 222-227.
- Chong, Terence Tai Leung & Kwok, Stanley, 2019. "The Impact of Shanghai-Hong Kong Stock Connect on the Effectiveness of Price Limits in the Chinese Stock Market," MPRA Paper 92185, University Library of Munich, Germany.
- Caner, Mehmet & Fan, Qingliang, 2015.
"Hybrid generalized empirical likelihood estimators: Instrument selection with adaptive lasso,"
Journal of Econometrics,
Elsevier, vol. 187(1), pages 256-274.
- Zhentao Shi, 2016. "Estimation of Sparse Structural Parameters with Many Endogenous Variables," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1582-1608, December.
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