计量金融与大数据分析workshop:非参样本分割下的阈值回归

发布日期:2021-05-14 12:00    来源:
主讲人:王宇龙(雪城大学助理教授)
 
题目:非参样本分割下的阈值回归
报告摘要:His current research focuses on designing new econometric tools in the non-standard instances when the classic asymptotically Gaussian framework fails to provide good performance. These tools are strongly motivated by empirical applications. Leading examples include estimating the location of the tipping point in social segregation, determining metropolitan areas based on nighttime light intensity, inference about winner’s properties in auctions, and studying the cost of extreme events such as natural disasters.
主讲人简介:
Yulong Wang is an Assistant Professor of Economics in the Maxwell School and a Senior Research Associate in the Center for Policy Research. Before joining Syracuse University, Wang earned a B.A. from Tsinghua University and Ph.D. in economics from Princeton University. 
 
时间:2021年5月14日(周五)10:00 AM -- 11:30 AM
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https://meeting.tencent.com/s/QXkYOxdl6hXq
会议 ID:624 697 960
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(线下形式):经济学院107会议室

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