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Prof.Nan Hu from Stevens Institute of Technology学术报告通知

发布时间: 2017/06/28 17:44:13     点击次数:次   打印本页

【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