Papers by years
”#” marks supervised postgraduate students
Working papers
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“High Dimensional Forecast Combinations Under Latent Structures,” with Liangjun Su and Tian Xie, 2021, arXiv:2010.09477, revised and resubmit at Review of Economics and Statistics [code]
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“A Structural Network Pairwise Regression Model with Unobservable Heterogeneity,” with Xi Chen, 2016
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“Online Review Discrepancy and Sales: Evidence from Film Market in China”, with #Yang Chen, Wei Lin, and Matthew Ce Shi, 2021
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“More than I(1) Stochastic Trends: Boosted HP Filter Revisited”, with #Ziwei Mei and Peter Phillips, 2022
Publications
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Jinyuan Chang, Zhentao Shi and Jia Zhang (2022): “Culling the Herd of Moments with Penalized Empirical Likelihood,” [arXiv:2108.03382], Journal of Business & Economic Statistics
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Zhentao Shi and #Jingyi Huang (2022): “Forward-Selected Panel Data Approach for Program Evaluation,” Journal of Econometrics [arXiv: 1908.05894] [
package] [supplement] -
Cheng Hsiao, Zhentao Shi and Qiankun Zhou (2022): “Transformed Estimation for Panel Interactive Effects Models,” Journal of Business & Economic Statistics
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Ji Hyung Lee, Zhentao Shi, and #Zhan Gao (2022): “On LASSO for Predictive Regression,” Journal of Econometrics [arXiv: 1810.03140] [slides] [code]
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Stephen L. Ross and Zhentao Shi (2022): “Measuring Social Interaction Effects When Instruments Are Weak,” Journal of Business & Economic Statistics
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Wei Lin, Zhentao Shi, #Yishu Wang and #Ting Hin Yan (2022): “Unfolding Beijing in a Hedonic Way,” Computational Economics [code]
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Peter Phillips and Zhentao Shi (2021): “Boosting: Why You Can Use the HP Filter,” International Economic Review, 62(2), 521-570. [arXiv: 1905.00175] [slides] [
package] [MATLAB, Python and Julia code] [Shiny App] -
#Zhan Gao and Zhentao Shi (2021): “Implementing Convex Optimization in R: Two Econometric Examples,” Computational Economics, 58, 1127-1135 [pre-print and code]
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Zhentao Shi and Huanhuan Zheng (2018): “Structural Estimation of Behavioral Heterogeneity,” Journal of Applied Econometrics, 33(5), 690-707 [arXiv:1802.03735] [code]
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Liangjun Su, Zhentao Shi and Peter Phillips (2016): “Identifying Latent Structures in Panel Data,” Econometrica, 84(6), 2215-2264 [supplement] [
package] [code] -
Zhentao Shi (2016): “Econometric Estimation with High-Dimensional Moment Equalities,” Journal of Econometrics, 195, 104-119
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Zhentao Shi (2016): “Estimation of Sparse Structural Parameters with Many Endogenous Variables,” Econometric Reviews, 35(8-10): 1582-1608
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James Chu, Liping Lu and Zhentao Shi (2009): “Pitfalls in Market Timing Test,” Economic Letters, 103(3), 123–126
In Chinese
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Zhentao Shi, Yuefei Zhang, and Yaogguang Chen (2006): “A Comparative Research on the Efficiency of China Mainland and Hong Kong Stock Markets,” Journal of Financial Research (金融研究), 6, 33-40
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Zhentao Shi and Liuyong Yang (2004): “An Analysis of Long-run Gold Price Determinants,” Journal of Statistical Research (统计研究), 6 (2), 21-24
Non-peer-reviewed
- #Ka Yan Cheng, Naijing Huang and Zhentao Shi (2021): “Survay-Based Forecasting: To Average or Not To Average,” in Vladik Kreinovich, Songsak Sriboonchitta, Woraphon Yamaka (eds.), Studies in Computational Intelligence: Behavioral Predictive Modeling in Economics, vol. 897, pp 87-104, Springer-Verlag