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国际经济学workshop：Let’s take the bias out of econometrics
发布日期：1990-01-01 12:00 来源：北京大学国家发展研究院
时间：2018年12月25日（周二）10：30 a.m.－12：00 p.m.
地点：北大国发院/中国经济研究中心 致福轩会议室
主持人：余淼杰 余昌华
主讲人：秦朵（University of London）
题目：Let’s take the bias out of econometrics
Abstract:
This study exposes the cognitive flaws of ‘endogeneity bias’. It examines how conceptualisation of the bias has evolved to embrace all major econometric problems, despite extensive lack of hard evidence. It reveals the crux of the bias – a priori rejection of causal variables as conditionally valid ones, and of the bias correction by consistent estimators – modification of those variables by non-uniquely and noncausally generated regressors. It traces the flaws to misconceptions about error terms and estimation consistency. It highlights the need to shake off the bias to let statistical learning play an active and formal role in econometrics.
个人简介：
Duo Qin is the Professor of SOAS at University of London. She has been a senior lecturer of Queen Mary at University of London and an economist of the Economic Research Department at Asian Development Bank. She has published in Econometric Theory, Journal of Asian Economics, Econometrics, Journal of Economic Methodology, et.al.
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首页
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国际经济学workshop：Let’s take the bias out of econometrics
发布日期：1990-01-01 12:00 来源：北京大学国家发展研究院
时间：2018年12月25日（周二）10：30 a.m.－12：00 p.m.
地点：北大国发院/中国经济研究中心 致福轩会议室
主持人：余淼杰 余昌华
主讲人：秦朵（University of London）
题目：Let’s take the bias out of econometrics
Abstract:
This study exposes the cognitive flaws of ‘endogeneity bias’. It examines how conceptualisation of the bias has evolved to embrace all major econometric problems, despite extensive lack of hard evidence. It reveals the crux of the bias – a priori rejection of causal variables as conditionally valid ones, and of the bias correction by consistent estimators – modification of those variables by non-uniquely and noncausally generated regressors. It traces the flaws to misconceptions about error terms and estimation consistency. It highlights the need to shake off the bias to let statistical learning play an active and formal role in econometrics.
个人简介：
Duo Qin is the Professor of SOAS at University of London. She has been a senior lecturer of Queen Mary at University of London and an economist of the Economic Research Department at Asian Development Bank. She has published in Econometric Theory, Journal of Asian Economics, Econometrics, Journal of Economic Methodology, et.al.
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