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

Statistics Seminar(2

功夫:2013-11-14

Statistics Seminar2013-19

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

AbstractIn 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汇报人介绍): 方颖博士现任乐山大学王亚南经济钻研院副教授  。2006年获得美国匹兹堡大学经济学博士 ,并于2006年8月参与乐山大学王亚南经济钻研院担任助理教授  。重要钻研领域蕴含计量经济理论、利用计量经济学和中国经济 ,在各类经济学期刊颁发十余篇学术论文 ,并主持或参加多项国度天然科学基金  。

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