Nonstandard Errors

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F24%3A00135946" target="_blank" >RIV/00216224:14560/24:00135946 - isvavai.cz</a>

Result on the web

<a href="https://onlinelibrary.wiley.com/doi/pdf/10.1111/jofi.13337" target="_blank" >https://onlinelibrary.wiley.com/doi/pdf/10.1111/jofi.13337</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/jofi.13337" target="_blank" >10.1111/jofi.13337</a>

Result language

angličtina

Original language name

Nonstandard Errors

Original language description

In 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.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50200 - Economics and Business

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

JOURNAL OF FINANCE

ISSN

0022-1082

e-ISSN

—

Volume of the periodical

79

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

52

Pages from-to

2339-2390

UT code for WoS article

001205268300001

EID of the result in the Scopus database

2-s2.0-85190503164