Data and Code for: Methods Matter: P-Hacking and Publication Bias in Causal Analysis in Economics
收藏ICPSR2022-01-01 更新2026-04-16 收录
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资源简介：
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: (1) Papers published in the `Top 5' journals are different to other; (2) The journal revise and resubmit process mitigates the problem; (3) Things are improving through time.<br>
提供机构：
University of Ottawa
创建时间：
2022-01-01
