Non-Standard Errors

Albert Menkveld, Anna Dreber, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Michael Kirchler, Sebastian Neusüss, Michael Razen, Utz Weitzel and Gunther Capelle-Blancard
Additional contact information
Juergen Huber: University of Innsbruck
Michael Kirchler: University of Innsbruck
Sebastian Neusüss: Aalto University
Michael Razen: University of Innsbruck
Utz Weitzel: Vrije Universiteit Amsterdam, Radboud University
Authors registered in the RePEc Author Service: Thomas P. Gehrig

Documents de travail du Centre d'Economie de la Sorbonne from Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne

Abstract: In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants

Keywords: non-standard errors; multi-analyst approach; liquidity (search for similar items in EconPapers)
JEL-codes: C12 C18 G1 G14 (search for similar items in EconPapers)
Pages: 57 pages
Date: 2021-11
New Economics Papers: this item is included in nep-exp
References: Add references at CitEc
Citations:

Downloads: (external link)
http://mse.univ-paris1.fr/pub/mse/CES2021/21033.pdf (application/pdf)
https://halshs.archives-ouvertes.fr/halshs-03500882

Related works:
Journal Article: Nonstandard Errors (2024)
Working Paper: Nonstandard errors (2024)
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Working Paper: Non-Standard Errors (2023)
Working Paper: Non-Standard Errors (2023)
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Working Paper: Non-Standard Errors (2021)
Working Paper: Non-Standard Errors (2021)
Working Paper: Non-Standard Errors (2021)
Working Paper: Non-Standard Errors (2021)
Working Paper: Non-Standard Errors (2021)
Working Paper: Non-Standard Errors (2021)
Working Paper: Non-Standard Errors (2021)
Working Paper: Non-standard errors (2021)
Working Paper: Non-standard errors (2021)
Working Paper: Non-standard errors (2021)
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