2020年，商务统计与经济计量系在学术期刊上揭晓论文38篇，32篇为国际论文揭晓，6篇为海内论文揭晓；其中伟易博A类论文6篇，伟易博B类论文15篇。尚有出书著作2篇。

Publication：

[1] Ma, Yingying; Pan, Rui; Zou, Tao; Wang, Hansheng(2020), A naive least squares method for spatial autoregression with covariates, Statistica Sinica, 30(2):653-672.

[2] Ren, TN; Wang, FF; Wang, HS(2020), A sequential naive bayes method for music genre classification based on transitional information from pitch and beat, Statistics and its Interface, 13(3):361-371.

[3] Xu, K; Sun, LP; Liu, J; Zhu, XN; Wang, HS(2020), A spatial autoregression model with time-varying coefficients, Statistics and its Interface, 13(2):261-270.

[4] Zhang, Xu; Pan, Rui; Guan, Guoyu; Zhu, Xuening; Wang, Hansheng(2020), Logistic regression with network structure, Statistica Sinica, 30(2):673-693.

[5] Zhu, XN; Huang, DY; Pan, R; Wang, HS(2020), Multivariate spatial autoregressive model for large scale social networks, Journal of Econometrics, 215(2):591-606.

[6] Zhou, Jing; Li, Dong; Pan, Rui; Wang, Hansheng(2020), Network garch model, Statistica Sinica, 30(4):1723-1740.

[7] Sun, Zhimeng; Wang, Hansheng(2020), Network imputation for a spatial autoregression model with incomplete data, Statistica Sinica, 30(3):1419-1436.

[8] Huang, DY; Wang, FF; Zhu, XN; Wang, HS(2020), Two-mode network autoregressive model for large-scale networks, Journal of Econometrics, 216(1):203-219.

[9] Wu, HJ; Zheng, XG; Zhu, J; Lin, W; Zheng, HT; Chen, XS; Wang, W; Wang, ZF; Chen, SX(2020), Improving PM2.5 Forecasts in China Using an Initial Error Transport Model, Environmental Science & Technology, 54(17): 10493-10501.

[10] Ma, YY; Lan, W; Zhou, FY; Wang, HS(2020), Approximate least squares estimation for spatial autoregressive models with covariates, Computational Statistics & Data Analysis, 3,143.

[11] Liu, J; Ma, YY; Wang, HS(2020), Semiparametric model for covariance regression analysis, Computational Statistics & Data Analysis, 2,142.

[12] Xu, ZP; Chen, SX; Wu, XQ(2020), Meteorological Change and Impacts on Air Pollution: Results From North China, Journal of Geophysical Research-Atmospheres, 125(16).

[13] Gao, Y; Zhao, WD; Wang, MJ(2020), The Comparison Study of Liquidity Measurements on the Chinese Stock Markets, Emerging Markets Finance and Trade.

[14] Jia Gu, Han Yan, Yaxuan Huang, Yuru Zhu, Haoxuan Sun, Yumou Qiu and SongXi Chen(2020). Comparing Containment Measures among Nations by Epidemiological Effects of COVID-19. National Science Review, 7:1847–1851.

[15] Haoxuan Sun, Yumou Qiu, Han Yan, Yaxuan Huang, Yuru Zhu, Jia Gu and Song Xi Chen(2020) Tracking Reproductivity of COVID-19 Epidemic in China with Varying Coefficient SIR Model (with discussion), Journal of Data Science, 18(3):455–472.

[16] Jin, F; Lee, LF; Yu, JH(2020), First difference estimation of spatial dynamic panel data models with fixed effects, Economics Letters, 189.

[17] Lee, LF; Yu, JH(2020), Initial conditions of dynamic panel data models: on within and between equations, Econometrics Journal, 23(1):115.

[18] Tu, Yundong; Yao, Qiwei; Zhang, Rongmao(2020), Error-correction factor models for high-dimensional cointegrated time series, Statistica Sinica, 30(3):1463-1484.

[19] Lin, YQ; Tu, YD; Yao, QW(2020), Estimation for double-nonlinear cointegration, Journal of Econometrics, 216(1):175-191.

[20] Tu, YD; Wang, Y(2020), Adaptive estimation of heteroskedastic functional-coefficient regressions with an application to fiscal policy evaluation on asset markets, Econometric Reviews, 39(3):299-318

[21] Yundong Tu and Siwei Wang(2020), Jackknife Model Averaging for Expectile Regressions in Increasing Dimension, Economics Letters, 197:1-5.

[22] Lin, Yingqian; Tu, Yundong(2020), Robust inference for spurious regressions and cointegrations involving processes moderately deviated from a unit root, Journal of Econometrics, 219(1):52-65.

[23] Lin, YQ; Tu, YD(2020), Sieve extremum estimation of a semiparametric transformation model, Economics Letters, 189:1-5.

[24] Li, S; Guo, B; Tu, YD(2020), Simultaneous Diagnostic Testing for Nonlinear Time Series Models with An Application to the US Federal Fund Rate, Oxford Bulletin of Economics And Statistics, 82(1):235-255.  

[25] Tu, YD; Chan, NG; Wang, QY(2020), Testing for a unit root with nonstationary nonlinear heteroskedasticity, Econometric Reviews, 39(9):904-929.

[26] Li, HK; Miao, W; Cai, Z; Liu, XH; Zhang, T; Xue, FZ; Geng, Z(2020), Causal data fusion methods using summary-level statistics for a continuous outcome, Statistics in Medicine, 39(8):1054.

[27] Kuang, K; Li, L; Geng, Z; Xu, L; Zhang, K; Liao, BS; Huang, HX; Ding, P; Miao, W; Jiang, ZC(2020), Causal Inference, Engineering, 6(3):253.

[28] Liu, Lan; Miao, Wang; Sun, Baoluo; Robins, James; Tchetgen, Eric Tchetgen(2020), Identification and inference for marginal average treatment effect on the treated with an instrumental variable, Statistica Sinica, 30(3):1517.

[29] Xu Shi, Wang Miao, Nelson J., Tchetgen Tchetgen E.(2020), Multiply robust causal inference with double-negative control adjustment for categorical unmeasured confounding, Journal of the Royal Statistical Society: Series B, 82:521–540.

[30] Zhang, Shuang; Chen, Song Xi; Lu, Lei(2020), Inference for variance risk premium, China Finance Revies International.

[31] Xu Shi, Wang Miao, Jennifer C. Nelson, Eric J. Tchetgen Tchetgen(2020), Multiply robust causal inference with double-negative control adjustment for categorical unmeasured confounding, Journal of the Royal Statistical Society Series B-Statistical Methodology.

[32] Wan, YT; Xu, MY; Huang, H; Chen, SX(2020), A spatio-temporal model for the analysis and prediction of fine particulate matter concentration in Beijing, Environmetrics.

[33] Yundong Tu (2020), “Entropy-based Model Averaging Estimation of Nonparametric Models,” Chapter 18 in Advances in Info-Metrics: Information and Information Processing across Disciplines, Edited by M. Chen, J.M. Dunn, A. Golan, and A. Ullah. Oxford University Press.

中文论文：

[1] 张澍一，陈松蹊，郭斌，王恒放，林伟，气象调解下的区域空气质量评估，中国科学:数学，第50卷第04期，第527-558页。

[2] 宋晓军，李曦纳，虞吉海，空间动态短面板的预计及中国都会经济增添收敛性的剖析，经济学报，第7卷第01期，第38-59页。

[3] 张轩瑜，宋晓军，虞吉海，时空效应下PM_(2.5)的情形库兹涅茨曲线——基于动态空间面板视角，情形科学学报，第40卷第01期，第315-324页。

[4] 安月，徐敏亚，数字化升级突破制造古板，企业治理，第08期，第108-110页。

[5] 王雅琼，徐敏亚，王菲菲，隐含动态地理统计校准模子——以PM_(2.5)污染剖析为例，数理统计与治理，第14页。

[6] 况琨，李廉，耿直，徐雷，张坤，廖备水，黄华新，丁鹏，苗旺，蒋智超，因果推理，Engineering，第6卷第03期，第107-130页。

出书著作：

[1] 王汉生，成慧敏，《商务数据剖析与应用---基于R》(第2版)，中国人民大学出书社，ISBN: 978-7-300-28273-2。