Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics
Has this study been replicated?
The atlas records 1 reproduction of this study. Recorded outcomes: 1 mixed.
Reproductions
- Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics: Comment, Kranz & PÜtz (2022). American Economic Review. Outcome recorded: computation not checked, robustness challenges.
Robustness: 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.
Read from Robustness: abstract. View paper
Cite this record
Brodeur, A., Cook, N., & Heyes, A. (2020). Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics. American Economic Review, 110(11), 3634–3660. https://doi.org/10.1257/aer.20190687
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