统计与管理学院2016年学术报告第1期

【主  题】A New Semiparametric Quantile Panel Data Model: Theory and Applications

【报告人】 Professor   Zongwu Cai

Department of Economics, University of Kansas, e-mail: caiz@ku.edu

WISE, Xiamen University, zongwucai@gmail.com

【时  间】 2016年1月5日（星期二）10:00－11:00

【地  点】 上海财经大学统计与管理学院大楼1208室

【语  言】 英文

【摘  要】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 based on the integrated quasi-likelihood approach 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.

This is a join work with Dr. Linna Chen and Dr. Ying Fang.