That is a new paper by Abel Brodeur, Mathias Lé, Marc Sangnier, and Yanos Zylberberg:
Journals favor rejections of the null hypothesis. This selection upon results 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 .25, a valley between .25 and .10 and a bump slightly under .05. Missing tests are those which would have been accepted but close to being rejected (p-values between .25 and .10). We show that this pattern corresponds to a shift in the distribution of p-values: between 10% and 20% of marginally rejected tests are misallocated. Our interpretation is that researchers might be tempted to inflate the value of their tests by choosing the specification that provides the highest statistics. Note that Inflation is larger in articles where stars are used in order to highlight statistical significance and lower in articles with theoretical models.
For the pointer I thank Michelle Dawson.
Addendum: Here is related commentary from Mark Thoma.