Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics

By Abel Brodeur, Nikolai Cook, Anthony Heyes. The American Economic Review, 2020

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The credibility revolution in economics has promoted causal identification using randomized control trials (RCT), difference-in-differences (DID), instrumental variables (IV) and regression discontinuity design (RDD). Applying multiple approaches to over 21,000 hypothesis tests published in 25 leading economics journals, we find that the extent of p-hacking and publication bias varies greatly by method. IV (and to a lesser extent DID) are particularly problematic. We find no evidence that (i) papers published in the Top 5 journals are different to others; (ii) the journal “revise and resubmit” process mitigates the problem; (iii) things are improving through time. (JEL A14, C12, C52)

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/f53c6450d4f877af7fb1a8c49f9d8d8957adf3ac

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