Social Interactions Quantiles

主讲人

Zhongjian Lin

简介

<p>This paper provides the semiparametric analysis of binary choice with social interactions and investigates the heterogeneity of the social interactions. We introduce the quantile regression to the binary response model with social interactions in a large network. We study the heterogeneity of the covariate effects as well as peer effects which richen the understanding beyond the center. Nested pseudo smoothed maximum score (NPSMS) algorithm is proposed to estimate the model. We illustrate the finite sample performance of the model and NPSMS with Monte Carlo experiments and an empirical application to the social interactions among students over exercise decision.</p>

时间

2018-06-04(Monday)13:00-14:20

地点

N302, Econ Building

讲座语言

English

主办单位

承办单位

类型

系列讲座

联系人信息

主持人

Qingliang Fan

专题网站

专题

主讲人简介

<p>Assistant Professor at Emory University.</p> <p><a href="/Upload/File/2018/5/20180522050950463.pdf"><span style="color: rgb(255, 102, 0);">Prof. Zhongjian Lin's CV</span></a></p>

期数

主讲人: Zhongjian Lin
主讲人简介:

Assistant Professor at Emory University.

Prof. Zhongjian Lin's CV

主持人: Qingliang Fan
简介:
系列讲座
时间: 2018-06-04(Monday)13:00-14:20
地点: N302, Econ Building
类型: 系列讲座