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Angelo Ranaldo
Title
Prof. Dr.
Last Name
Ranaldo
First name
Angelo
Email
angelo.ranaldo@unisg.ch
Phone
+41 71 224 7010
RePec
http://ideas.repec.org/e/pra161.html
SSRN
http://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=253421
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PublicationNon-Standard ErrorsIn 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 acrossresearchers 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.
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PublicationType: forthcomingJournal: Journal of Financial EconomicsVolume: 3Issue: 146
Scopus© Citations 2