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                          2019/03/20  作者:

                          報告題目Nonparametric fixed effects model for panel data with locally stationary regressors 

                          報告摘要 We develop methods for inference in non-parametric time-varying fixed effects panel data models that allow for locally stationary regressors and for the time series length T and cross-section size N both being large.We first develop a pooled nonparametric profile least squares dummy variable approach to estimate the nonparametric function, and establish the optimal convergence rate and asymptotic normality of the resultant estimator. We then propose a test statistic to check whether the bivariate nonparametric function is time-varying or the time effect is separable, and derive the asymptotic distribution of the proposed test statistic. We present several simulated examples and two real data analyses to illustrate the finite sample performance of the proposed methods. 

                            

                          主講人:尤進紅教授 

                          報告時間:201932210:30 

                          報告地點:精工樓7-104 

                          個人簡介:尤進紅教授,加拿大女皇大學(University of Regina)統計學博士,美國北卡羅納教堂山分校博士後, 上海財經大學統計與管理學院tenured常任軌教授、博士生導師和副院長 ,全國工業統計學教學研究會第九屆理事會副會長,曾任Quality Technology and Quantitative Management (QTQM), special issue: Mathematical and Statistical Finance的客座編委(Guest Editor)。尤進紅教授有十餘年的北美學習、工作經歷 。長期從事計量經濟學、數理統計以及生物統計的九乐棋牌游戏  ;在半參數,非參數迴歸建模,估計,檢驗及其在經濟學 ,金融學和生物醫學方面的應用開展了許多有價值的研究工作;在國際和國內著名的統計和經濟學雜誌(包括Journal of the American Statistical Association ,Journal of Econometric等)上發表學術論文六十餘篇,其中三大檢索論文四十餘篇 ,被SCI他引幾百餘次 ;主持和參與過多個國家自科基金項目 ;爲國際著名統計和計量經濟雜誌Annals of Statistics, Journal of the American Statistical Association , BiometrikaJournal of Econometric等的論文評審人。 

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