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统计机器学习与因果效应评估系列学术报告(11)北京大学宋晓军副教授报告

发布时间:2024-10-17文章来源: 浏览次数:

报告题目Testing for Heterogeneous Treatment Effects in FRD

报告人:宋晓军 教授 (北京大学)

报告时间2024年10月23日下午 16:00-17:00

报告地点:学院会议室109

报告摘要:

Treatment effect heterogeneity has attracted significant attention in recent studies, particularly in the scope of causal inference. This paper proposes a test for detecting the unobserved heterogeneous treatment effects within fuzzy regression discontinuity (FRD) designs. The null hypothesis of no unobserved heterogeneity is formulated to derive the test statistics. The proposed test allows the treatment effect function as a more general form than previous literature. The asymptotic properties of proposed test are established by the asymptotic analysis of empirical process. The finite sample performance is validated by Monte Carlo experiments, exhibiting the appropriate size and power under both the null and fixed alternative hypothesis.

 

报告人简介:宋晓军,男,北京大学光华管理学院商务统计与经济计量系副教授,博士生导师,西班牙马德里卡洛斯三世大学经济学博士。主要研究兴趣是理论计量经济学,包括非参数/半参数方法,假设检验和自助法,以及计量经济学的应用等。论文发表AOAS, ETJAEJBESJoE等国际期刊。主持和参加自然科学基金面上项目和国家重点专项等。自2020年1月起担任Economic Modelling副主编。

 

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