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The cult of statistical significance: What economists should and should not do to make their data talk
[working paper]
Corporate Editor
Rat für Sozial- und Wirtschaftsdaten (RatSWD)
Abstract This article takes issue with a recent book by Ziliak and McCloskey (2008) of the same title. Ziliak and McCloskey argue that statistical significance testing is a barrier rather than a booster for empirical research in economics and should therefore be abandoned altogether. The present article argu... view more
This article takes issue with a recent book by Ziliak and McCloskey (2008) of the same title. Ziliak and McCloskey argue that statistical significance testing is a barrier rather than a booster for empirical research in economics and should therefore be abandoned altogether. The present article argues that this is good advice in some research areas but not in others. Taking all issues which have appeared so far of the German Economic Review and a recent epidemiological meta-analysis as examples, it shows that there has indeed been a lot of misleading work in the context of significance testing, and that at the same time many promising avenues for fruitfully employing statistical significance tests, disregarded by Ziliak and McCloskey, have not been used.... view less
Classification
Research Design
Free Keywords
Kritik; Statistische Methodenlehre; Statistischer Test; Theorie
Document language
English
Publication Year
2011
City
Berlin
Page/Pages
14 p.
Series
RatSWD Working Paper Series, 176
Handle
https://hdl.handle.net/10419/75303
Status
Published Version; reviewed
Licence
Deposit Licence - No Redistribution, No Modifications