The cult of statistical significance : What economists should and should not do to make their data talk

@inproceedings{Krmer2010TheCO,
  title={The cult of statistical significance : What economists should and should not do to make their data talk},
  author={Walter Kr{\"a}mer},
  year={2010}
}
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… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 29 references

Encyclopdedia of the Social Sciences, New York (McMillan)

W. Krämer
Denkste – Trugschlüsse aus der Welt des Zufalls und der Zahlen • 2001
View 8 Excerpts
Highly Influenced

HARKing: hypothesizing after the results are known.

Personality and social psychology review : an official journal of the Society for Personality and Social Psychology, Inc • 1998
View 3 Excerpts
Highly Influenced

Health insurance competition in Germany – the role

S. Uebelmesser
mics in Germany,” German Economic Review • 2010

“ Health insurance competition in Germany – the role of advertising

B. Becker, S. Uebelmesser
Schmollers Jahrbuch " AKWs erhöhen das Leukämierisiko " • 2010

„ Investor rationality and house price bubbles : Berlin and the German reunification “

R. Schulz
German Economic Review • 2010

“ Strategic tax competition in Switzerland : Evidence from a panel of the Swiss cantons , ”

L. P Feld, E. Reulier
German Economic Review • 2009
View 1 Excerpt

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