Non-Standard Errors

Anders Vilhelmsson ()
Additional contact information
Anders Vilhelmsson: Department of Economics, Lund University, Postal: School of Economics and Management, Box 7080, S-220 07 Lund, Sweden
Authors registered in the RePEc Author Service: Anders Wilhelmsson (), Marco Alexander Schwarz and Thomas P. Gehrig

No 2021:17, Working Papers from Lund University, Department of Economics

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 (search for similar items in EconPapers)
JEL-codes: B26 (search for similar items in EconPapers)
Pages: 57 pages
Date: 2021-11-29
New Economics Papers: this item is included in nep-exp
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http://project.nek.lu.se/publications/workpap/papers/wp21_17.pdf Full text (application/pdf)

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Working Paper: Non-standard errors (2021)
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