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: CESifo Working Paper ; No. 9453

Klassifikation
Wirtschaft
Hypothesis Testing: General
Methodological Issues: General
General Financial Markets: General (includes Measurement and Data)
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)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2021

Handle
Letzte Aktualisierung
20.09.2024, 08:25 MESZ

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.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Menkveld, Albert J.
  • Dreber, Anna
  • Holzmeister, Felix
  • Huber, Jürgen
  • Johannesson, Magnus
  • Kirchler, Michael
  • Neusüss, Sebastian
  • Razen, Michael
  • Weitzel, Utz
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2021

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