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P-hacking is prevalent in reality but absent from classical hypothesis testing theory.
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Adda, Jerome, Christian Decker, and Marco Ottaviani. 2020. “P-hacking in Clinical Trials and How Incentives Shape the Distribution of Results Across Phases.” Proceedings of the National Academy of Sciences
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Biagioli, Mario, and Alexandra Lippman. 2020. “Metrics and the New Ecologies of Academic Misconduct.” In Gaming the Metrics: Misconduct and Manipulation in Academic Research
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Brodeur, Abel, Nikolai Cook, and Anthony Heyes. 2020. “Methods Matter: P-hacking and Publication Bias in Causal Analysis in Economics.” American Economic Review
2020
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Chen, Andrew Y. 2021. “The Limits of P-hacking: Some Thought Experiments.” Journal of Finance
2021
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Huntington-Klein, Nick, Andreu Arenas, Emily Beam, Marco Bertoni, Jeffrey R. Bloem, Pralhad Burli, Naibin Chen, Paul Grieco, Godwin Ekpe, Todd Pugatch, Martin Saavedra, and Yaniv Stopnitzky. 2021. “The Influence of Hidden Researcher Decisions in Applied Microeconomics.” Economic Inquiry
2021
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Elliott, Graham, Nikolay Kudrin, and Kaspar Wuthrich. 2022. “Detecting P-hacking.” Econometrica
2022
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Stefan, Angelika M., and Felix D. Schoenbrodt. 2023. “Big Little Lies: A Compendium and Simulation of P-hacking Strategies.” Royal Society Open Science
2023
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