应用微观经济学中隐性研究者决策的影响

Nick Huntington-Klein, Andreu Arenas, Emily A. Beam, Marco Bertoni, J. Bloem, Pralhad Burli, Naibin Chen, P. Grieco, Godwin Ekpe, Todd Pugatch, Martin Saavedra, Yaniv Stopnitzky
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引用次数: 43

摘要

研究人员在他们的研究中对数据收集、准备和分析做出数百个决定。我们使用多分析师方法来衡量这些决策的范围和影响。两个已发表的因果实证结果分别由七个复制器复制。我们发现在数据准备和分析决策方面存在很大差异,其中许多不太可能在出版物中报告。没有两个复制器报告相同的样本量。统计意义在不同的重复实验中有所不同,其中一项研究的效果符号也有所不同。重复估计的标准偏差是典型报告标准误差的3-4倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Influence of Hidden Researcher Decisions in Applied Microeconomics
Researchers make hundreds of decisions about data collection, preparation, and analysis in their research. We use a many-analysts approach to measure the extent and impact of these decisions. Two published causal empirical results are replicated by seven replicators each. We find large differences in data preparation and analysis decisions, many of which would not likely be reported in a publication. No two replicators reported the same sample size. Statistical significance varied across replications, and for one of the studies the effect's sign varied as well. The standard deviation of estimates across replications was 3-4 times the typical reported standard error.
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