Non-Standard Errors
| dc.contributor.author | Menkveld, A. | |
| dc.contributor.author | Dreber, A. | |
| dc.contributor.author | Holzmeister, F. | |
| dc.contributor.author | Huber, J. | |
| dc.contributor.author | Johannesson, M. | |
| dc.contributor.author | Kirchler, M. | |
| dc.contributor.author | Neusüss, S. | |
| dc.contributor.author | Razen, M. | |
| dc.contributor.author | Weitzel, U. | |
| dc.contributor.author | Linton, O. | |
| dc.date.accessioned | 2022-01-04T17:05:08Z | |
| dc.date.available | 2022-01-04T17:05:08Z | |
| dc.date.issued | 2021-11-25 | |
| dc.description.abstract | 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.<br /><br />Online appendix available at <a href="https://bit.ly/3DIQKrB<" target="_blank">https://bit.ly/3DIQKrB</a>.<br /><br />Please note a full list of authors is available in the working paper. | |
| dc.identifier.doi | 10.17863/CAM.79374 | |
| dc.identifier.other | CWPE2182 | |
| dc.identifier.other | JIWP2112 | |
| dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/331925 | |
| dc.publisher | Faculty of Economics, University of Cambridge | |
| dc.relation.ispartofseries | Cambridge Working Papers in Economics | |
| dc.relation.ispartofseries | Janeway Institute Working Paper Series | |
| dc.rights | All Rights Reserved | |
| dc.rights.uri | https://www.rioxx.net/licenses/all-rights-reserved/ | |
| dc.subject | Market Efficiency | |
| dc.subject | P-hacking | |
| dc.subject | Publication bias | |
| dc.title | Non-Standard Errors | |
| dc.type | Working Paper |