分析有系统偏差的数据

IF 0.6 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM SIGecom Exchanges Pub Date : 2022-07-01 DOI:10.1145/3572885.3572890
M. Zampetakis
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引用次数: 0

摘要

在许多数据分析问题中,由于数据收集过程中的一些系统性偏差,我们只能接触到有偏差的数据。在这封信中,我们提出了数据中系统偏差的一般公式,以及我们最近关于如何处理计量经济学研究中经常出现的两种非常基本的系统偏差类型的结果:截断偏差和自我选择偏差。
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Analyzing data with systematic bias
In many data analysis problems, we only have access to biased data due to some systematic bias of the data collection procedure. In this letter, we present a general formulation of systematic bias in data as well as our recent results on how to handle two very fundamental types of systematic bias that arise frequently in econometric studies: truncation bias and self-selection bias.
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ACM SIGecom Exchanges
ACM SIGecom Exchanges COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
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