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.
- Sprache
-
Englisch
- Erschienen in
-
Series: IWH Discussion Papers ; No. 11/2021
- Klassifikation
-
Wirtschaft
Hypothesis Testing: General
Methodological Issues: General
Information and Market Efficiency; Event Studies; Insider Trading
- Thema
-
non-standard errors
multi-analyst approach
liquidity
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Menkveld, Albert J.
Dreber, Anna
Holzmeister, Felix
Huber, Jürgen
Johannesson, Magnus
Kirchler, Michael
Neusüss, Sebastian
Razen, Michael
Weitzel, Utz
- Ereignis
-
Veröffentlichung
- (wer)
-
Halle Institute for Economic Research (IWH)
- (wo)
-
Halle (Saale)
- (wann)
-
2021
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Menkveld, Albert J.
- Dreber, Anna
- Holzmeister, Felix
- Huber, Jürgen
- Johannesson, Magnus
- Kirchler, Michael
- Neusüss, Sebastian
- Razen, Michael
- Weitzel, Utz
- Halle Institute for Economic Research (IWH)
Entstanden
- 2021
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