Dong Li
Kansas State University
36 Papers
173 Citations
Dong Li is an academic researcher from Kansas State University. The author has contributed to research in topics: Estimator & Nonparametric statistics. The author has an hindex of 14, co-authored 31 publications. Previous affiliations of Dong Li include East Carolina University & Texas A&M University.
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Papers
miR-214 targets ATF4 to inhibit bone formation
Xiaogang Wang,Baosheng Guo,Baosheng Guo,Qi Li,Jiang Peng,Zhijun Yang,Aiyuan Wang,Dong Li,Zhibo Hou,Ke Lv,Guanghan Kan,Hongqing Cao,Heng Wu,Heng Wu,Jinping Song,Xiaohua Pan,Qiao Sun,Shukuan Ling,Yuheng Li,Mu Zhu,Pengfei Zhang,Songlin Peng,Xiaoqing Xie,Tao Tang,An Hong,Zhaoxiang Bian,Yanqiang Bai,Aiping Lu,Yinghui Li,Fuchu He,Ge Zhang,Ge Zhang,Yingxian Li +32 more
TL;DR: Elevated miR-214 levels correlated with a lower degree of bone formation in bone specimens from aged patients with fractures, and in vitro osteoblast activity and matrix mineralization were promoted by antagomir-214 and decreased by agomIR-214, and mi R-214 directly targeted ATF4 to inhibit osteoblasts activity.
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Semiparametric Smooth Coefficient Models
TL;DR: In this paper, a semiparametric smooth coefficient model is proposed for estimating the production function of the nonmetal mineral industry in China, where the intermediate production and management expense has played a vital role and is an unbalanced determinant of the labor and capital elasticities of output in production.
328
Transaction tax and stock market behavior: evidence from an emerging market
Badi H. Baltagi,Dong Li,Qi Li +2 more
TL;DR: In this article, the authors examined the impact of a stamp tax rate increase on market behavior, using data from two stock exchanges in China, and found that when the tax rate increases from 0.3 to 0.5%, trading volume decreases by 1/3.
159
Prediction in the Panel Data Model with Spatial Correlation: the Case of Liquor
Badi H. Baltagi,Dong Li +1 more
TL;DR: In this article, the authors consider the problem of predicting in a panel data regression model with spatial autocorrelation in the context of a simple demand equation for liquor and compare the performance of several predictors of the states’ demand for liquor for 1 year and 5 years ahead.
LM Tests for Functional Form and Spatial Error Correlation
Badi H. Baltagi,Dong Li +1 more
TL;DR: The authors derived Lagrangian multiplier (LM) tests to jointly test for functional form and spatial error correlation in linear and log-linear models with no spatial error dependence against a more general Box-Cox model with spatial error correlations.
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