【北航经管学术论坛】
报告题目：Causal Inference Using Archival Data
主讲人：Nan Hu博士，Stevens Institute of
Technology商学院副教授
时间：2017年6月29日（星期四）下午14:00-16:00
地点：北航新主楼A座618室
邀请人：单伟副教授
报告摘要：
Causal inference is a central aim of many
empirical investigations these days. This workshop will introduce the basic
idea of causal inference, the difference between statistical inference and
causal inference, the cause of endogeneity and self-selection and the possible
methods to address such an issue. Sample empirical papers will be discussed.
主讲人简介：
Dr. Hu’s research focuses on investigating
the value implications and market efficiency of traditional information (e.g.
company financial reports, analysts’ forecast, corporate governance, etc.) and
non-traditional information (e.g. blog opinion, online consumer reviews, etc.),
using a combination of theories form accounting, finance, marketing,
information economics, sociology, psychology, and computer science. His
research appears in leading IS/Accounting/Finance/CS conferences (ICIS, WISE,
HICSS, AAA, FMA, WWW, USINEX Security, ACM EC, etc.), and journals including
Journal of Accounting, Auditing, and Finance (JAAF), Journal of Accounting and
Public Policy (JAPP), Journal of Business Finance & Accounting (JBFA),
Journal of Financial Stability, MIS Quarterly (MISQ), Journal of Management
Information Systems (JMIS), IEEE Transactions on Engineering Management (IEEE
TEM), Journal of Business Research (JBR), Communications of the ACM (CACM),
Decision Support Systems (DSS), etc. Dr. Hu’s research has been well recognized
by the academic and industrial realms. His papers have been cited more than
2200 times based on Google Scholars.
经管学院科研办
2017-06-28
