Star Wars: The Empirics Strike Back
Abel Brodeur,
Mathias Lé,
Marc Sangnier and
Yanos Zylberberg
No 7268, IZA Discussion Papers from Institute of Labor Economics (IZA)
Abstract:
Journals favor rejection of the null hypothesis. This selection upon tests may distort the behavior of researchers. Using 50,000 tests published between 2005 and 2011 in the AER, JPE, and QJE, we identify a residual in the distribution of tests that cannot be explained by selection. The distribution of p-values exhibits a camel shape with abundant p-values above 0.25, a valley between 0.25 and 0.10 and a bump slightly below 0.05. The missing tests (with p-values between 0.25 and 0.10) can be retrieved just after the 0.05 threshold and represent 10% to 20% of marginally rejected tests. Our interpretation is that researchers might be tempted to inflate the value of those almost-rejected tests by choosing a "significant" specification. We propose a method to measure inflation and decompose it along articles' and authors' characteristics.
Keywords: selection bias; distorting incentives; hypothesis testing; research in economics (search for similar items in EconPapers)
JEL-codes: A11 B41 C13 C44 (search for similar items in EconPapers)
Pages: 61 pages
Date: 2013-03
New Economics Papers: this item is included in nep-ecm and nep-sog
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Citations: View citations in EconPapers (46)
Published - published in: American Economic Journal: Applied Economics, 2016, 8 (1), 1-32
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Related works:
Journal Article: Star Wars: The Empirics Strike Back (2016) 
Working Paper: Star Wars: The Empirics Strike Back (2016)
Working Paper: Star Wars: The Empirics Strike Back (2016)
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Working Paper: Star Wars: The Empirics Strike Back (2015) 
Working Paper: Star Wars: The Empirics Strike Back (2015) 
Working Paper: Star Wars: The Empirics Strike Back (2015) 
Working Paper: Star wars: The empirics strike back (2012) 
Working Paper: Star wars: The empirics strike back (2012) 
Working Paper: Star wars: The empirics strike back (2012) 
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