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Non-Standard Errors

dc.contributor.authorMenkveld, Albert
dc.contributor.authorDreber, Anna
dc.contributor.authorHolzmeister, Felix
dc.contributor.authorHuber, Juergen
dc.contributor.authorJohannesson, Magnus
dc.contributor.authorKirchler, Michael
dc.contributor.authorNeusus, Sebastian
dc.contributor.authorRazen, Michael
dc.contributor.authorWeitzel, Utz
dc.contributor.authorAbad-Diaz, David
dc.contributor.authorAbudy, Menachem
dc.contributor.authorAdrian, Tobias
dc.contributor.authorAit-Sahalia, Yacine
dc.contributor.authorAkmansoy, Olivier
dc.contributor.authorAlcock, Jamie T.
dc.contributor.authorAlexeev, Vitali
dc.contributor.authorAloosh, Arash
dc.contributor.authorAmato, Livia
dc.contributor.authorAmaya, Diego
dc.contributor.authorAngel, James J.
dc.contributor.authorAvetikian, Alejandro T.
dc.contributor.authorBach, Amadeus
dc.contributor.authorBaidoo, Edwin
dc.contributor.authorBakalli, Gaetan
dc.contributor.authorBao, Li
dc.contributor.authorBardon, Andrea
dc.contributor.authorBashchenko, Oksana
dc.contributor.authorBindra, Parampreet C.
dc.contributor.authorBjønnes, Geir Høidal
dc.contributor.authorBlack, Jeffrey R.
dc.contributor.authorBlack, Bernard S.
dc.contributor.authorBogoev, Dimitar
dc.contributor.authorCorrea, Santiago Bohorquez
dc.contributor.authorBondarenko, Oleg
dc.contributor.authorBos, Charles S.
dc.contributor.authorBosch-Rosa, Ciril
dc.contributor.authorBouri, Elie
dc.contributor.authorBrownlees, Christian
dc.contributor.authorCalamia, Anna
dc.contributor.authorCao, Viet Nga
dc.contributor.authorCapelle-Blancard, Gunther
dc.contributor.authorRomero, Laura M. Capera
dc.contributor.authorCaporin, Massimiliano
dc.contributor.authorCarrion, Allen
dc.contributor.authorCaskurlu, Tolga
dc.contributor.authorChakrabarty, Bidisha
dc.contributor.authorChen, Jian
dc.contributor.authorChernov, Mikhail
dc.contributor.authorCheung, William
dc.contributor.authorter Ellen, Saskia
dc.contributor.authorØdegaard, Bernt Arne
dc.contributor.authorLongarela, Inaki Rodriguez
dc.contributor.authorWika, Hans C.
dc.contributor.authorYuferova, Darya
dc.date.accessioned2025-01-31T09:35:33Z
dc.date.available2025-01-31T09:35:33Z
dc.date.issued2024-04-17
dc.description.abstractIn statistics, samples are drawn from a population in a data‐generating process (DGP). Standard errors measure the uncertainty in 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—nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer‐review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.en_US
dc.identifier.citationMenkveld A, Dreber A, Holzmeister F, Huber, Johannesson M, Kirchler M, Neusus, Razen M, Weitzel U, Abad-Diaz, Abudy, Adrian, Ait-Sahalia, Akmansoy, Alcock, Alexeev, Aloosh, Amato, Amaya, Angel, Avetikian, Bach, Baidoo, Bakalli, Bao, Bardon, Bashchenko, Bindra, Bjønnes GH, Black, Black, Bogoev, Correa, Bondarenko O, Bos CS, Bosch-Rosa, Bouri E, Brownlees C, Calamia, Cao, Capelle-Blancard, Romero, Caporin M, Carrion, Caskurlu, Chakrabarty, Chen J, Chernov M, Cheung W, ter Ellen S, Ødegaard BA, Longarela IR, Wika, Yuferova D. Non-Standard Errors. Journal of Finance. 2024;79(3)en_US
dc.identifier.cristinIDFRIDAID 2266070
dc.identifier.doi10.1111/jofi.13337
dc.identifier.issn0022-1082
dc.identifier.issn1540-6261
dc.identifier.urihttps://hdl.handle.net/10037/36386
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relation.journalJournal of Finance
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)en_US
dc.titleNon-Standard Errorsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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Attribution 4.0 International (CC BY 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution 4.0 International (CC BY 4.0)