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关注这篇论文的作者
Jaap H Abbring

皇家经济学会2021年年会萨根讲座

研究问题
所给文字介绍萨根讲座的宗旨、2021年主讲人 Imbens 的学术背景及相关贡献,未提出独立研究问题。
方法与思路
材料采用讲座背景与学术履历介绍,提及局部平均处理效应、网络互动和机器学习,但未展开本次讲座的方法。
材料陈述的贡献
文本概述讲座对应用相关计量方法的重视及 Imbens 的既有因果推断贡献,未陈述本条目自身的新研究结果。
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材料来自稿件版本未注明的 OpenAlex 索引摘要,内容属讲座介绍;不能将主讲人的既有成果当作本条目的原创贡献。

原文摘要

Each year, The Econometrics Journal sponsors a plenary lecture at the Annual Conference of the Royal Economic Society. This Sargan Lecture commemorates the fundamental contributions to and profound influence on econometrics by (John) Denis Sargan. It does so by promoting econometric theory and methods with substantive direct or potential value in applications and their actual empirical application. It is chaired by an editor of The Econometrics Journal and published in the journal.1 Guido Imbens delivered the Sargan Lecture at the Society’s online 2021 Conference. Guido Imbens is The Applied Econometrics Professor and Professor of Economics at the Stanford Graduate School of Business. His early work on nonparametric instrumental variables estimation of heterogeneous treatment effects, and in particular of local average treatment effects, had a major impact on both econometrics and empirical economics, and is routinely taught and applied. He has since added many key contributions to causal inference and the econometrics of treatment effects. Recently, he studied topics like inference on treatment effects on subjects interacting over networks and the use of machine learning to analyse treatment effect heterogeneity. In 2021, Guido Imbens was awarded the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel, together with Joshua Angrist (MIT), ‘for their methodological contributions to the analysis of causal relationships’ (they shared the prize with David Card of UC Berkeley, who was honoured ‘for his empirical contributions to labour economics’).

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