Arbeitspapier
Non-Standard Errors
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.
- Language
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Englisch
- Bibliographic citation
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Series: Working Paper ; No. 2021:17
- Classification
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Wirtschaft
History of Economic Thought since 1925: Financial Economics
- Subject
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Non-standard
errors
- Event
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Geistige Schöpfung
- (who)
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Vilhelmsson, Anders
- Event
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Veröffentlichung
- (who)
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Lund University, School of Economics and Management, Department of Economics
- (where)
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Lund
- (when)
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2021
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Vilhelmsson, Anders
- Lund University, School of Economics and Management, Department of Economics
Time of origin
- 2021
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