Statistics Seminar（2013-19）

Topic:Quantitle Panel Data Models with Partially Varying Coefficients: Estimating the Growth Effect of FDI

Speaker:Ying Fang, Xiamen University

Time:Thursday, 14 November, 14:00-15:30

Location:Room 217, Guanghua Building 2

Abstract：In this paper, we propose a new semiparametric quantile panel data model with correlated random effects in which some of the coefficients are allowed to depend on some smooth economic variables while other coefficients remain constant. A three-stage estimation procedure is proposed to estimate both constant and functional coefficients and their asymptotic properties are investigated. We show that the estimator of constant coefficients is root-N consistent and the estimator of varying coefficients converges in a nonparametric rate. A Monte Carlo simulation is conducted to examine the finite sample performance of the proposed estimators. Finally, the proposed semiparametric quantile panel data model is applied to estimating the impact of foreign direct investment (FDI) on economic growth using the cross-country data from 1970 to 1999.

About the speaker（报告人介绍）： 方颖博士现任厦门大学王亚南经济研究院副教授。2006年获得美国匹兹堡大学经济学博士，并于2006年8月加入厦门大学王亚南经济研究院担任助理教授。主要研究领域包括计量经济理论、应用计量经济学和中国经济，在各类经济学期刊发表十余篇学术论文，并主持或参与多项国家自然科学基金。