题目：Estimation on nonlinear spatial gravity models for international trades

报告人：李龙飞

报告时间：2023年11月22日（周三）13:40

地点：国际会议中心一楼

报告人简介：

李龙飞教授，上海财经大学特聘教授，世界著名计量经济学家。李龙飞教授兼任世界计量经济学会院士，中国台湾“中央研究院”院士，空间计量学会会士，经济测量学会会士。主要研究领域为微观计量经济学和理论计量经济学作为空间计量理论的开创者和奠基人，担任空间计量经济学会会刊创刊主编，正任和曾任Jounal of Econometrics等14本国际期刊主编、副主编或编委。曾作为终身教授或讲席教授在明尼苏达大学、密歇根大学、佛罗里达大学、俄亥俄州立大学以及香港科技大学任教。在经济学顶级期刊Econometrica发表论文9篇，另在RES、JASA、JOE等经济学和统计学国际知名期刊发表文章150余篇。

报告摘要：

This presentation will focus on the estimation of gravity models, which are important theoretical spatial models. Behrens et al.(2012) propose a dual utility approach with  the assumption that the supplied trade quantity is in the amount such that the profit of a country will be  reduced to zero in competition. Behrens et al.(2013) has provided a linear SARF model, which approximates at a particular point of a parameter. We would like to consider the estimation of the structural nonlinear spatial interactions gravity equation so linear approximations would not be needed.

In order to justify the estimates of the general nonlinear gravity model, nonlinear spatial asymptotic theory of  spatial near-epoch dependence (SNED) features could be the  important theory to study  asymptotic properties of those estimates.In this project, we will attempt to investigate asymptotic properties of the quasi-maximum likelihood estimates for the nonlinear flow model.