黑客
工具变量
计量经济学
舍入
统计假设检验
省略变量偏差
统计
因果推理
经济
出版偏见
无效假设
变量(数学)
显著性检验
心理学
实证经济学
作者
Sebastian Kranz,Peter Pütz
摘要
Brodeur, Cook, and Heyes (2020) study hypothesis tests from economic articles and find evidence for p-hacking and publication bias, in particular for instrumental variable and difference-in-difference studies. When adjusting for rounding errors (introducing a novel method), statistical evidence for p-hacking from randomization tests and caliper tests at the 5 percent significance threshold vanishes for difference-in-differnce studies but remains for instrumental variable studies. Results at the 1 percent and 10 percent significance thresholds remain largely similar. In addition, Brodeur, Cook, and Heyes derive latent distributions of z-statistics absent publication bias using two different approaches. We establish for each approach a result that challenges its applicability. (JEL A14, C12, C52)
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