Do Standard Error Corrections Exacerbate Publication Bias?
Patrick Vu
No gn8ur_v1, MetaArXiv from Center for Open Science
Abstract:
In a canonical model of the publication process, I show that the interaction between standard error corrections and selective publication can inadvertently increase bias in published studies. This occurs because larger standard errors raise the bar for statistical significance, exacerbating publication bias. I examine this phenomenon in difference-in-differences studies, where clustering is associated with a near doubling of effect sizes. Using an empirical model, I find that clustering led to large improvements in coverage but also sizable increases in bias. Nonetheless, clustering is welfare-improving from a decision-theoretic standpoint, as more accurate belief updating outweighs the costs of increased publication bias.
Date: 2025-11-13
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://osf.io/download/69155f0cf669c7f22ae30020/
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:osf:metaar:gn8ur_v1
DOI: 10.31219/osf.io/gn8ur_v1
Access Statistics for this paper
More papers in MetaArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().