Data and Code for: Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics: Comment

Brodeur, Cook, and Heyes (2020) study hypothesis tests from economic articles and find evidence for p-hacking and publication bias, in particular for IV and DID studies. When adjusting for rounding errors (introducing a novel method), statistical evidence for p-hacking from randomization tests and caliper tests at the 5% significance threshold vanishes for DID studies but remains for IV studies. Results at the 1% and 10% 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.<br><br><br><br>