(NOTE: This ironic blog post was originally published on http://www.nicebread.de/introducing-p-hacker/) My Dear Fellow Scientists! “If you torture the data long enough, it will confess.” This aphorism, attributed to Ronald Coase, sometimes has been used in a dis-respective manner, as if…
Read MoreProviding access to the data is a prerequisite for replication of empirical analysis. Unfortunately, this access is not always granted to everyone (see here, and here). There is evidence that some of this may be due to concerns about requestors’…
Read MoreThe problems of publication misconduct – manipulation, fabrication and plagiarism – and other dodgy practices such as salami-style publications are attracting increasing attention. In the newly published paper “Misconduct, Marginality, and Editorial Practices in Management, Business, and Economics” (full text…
Read MoreIn the academy and well beyond, the problem of null results has become quite significant. Indeed, discussions of null results have made their way as far as TV commentator John Oliver’s recent discussion of science in which he poignantly notes…
Read MoreAcademia has been abuzz in recent years with new initiatives focusing on research transparency, replication and reproducibility of research. Notable in this regard are the Berkeley Initiative for Transparency in the Social Sciences, and the Reproducibility Initiative which PLOS and…
Read MorePropensity Score Matching (PSM) approaches have become increasingly popular in empirical economics. These methods are intuitively appealing. PSM procedures are available in well-known software packages such as R or Stata. The fundamental idea behind PSM is that treated observations are…
Read More“Weekend Reads”, the weekly summary by IVAN ORANSKY of Retraction Watch, recently listed two articles on Peer Review. One, a blog by George Borjas, concerns the recent imbroglio at the American Economic Review involving an editor who oversaw the review of…
Read MoreThere has been a huge amount of attention focused on “open data.” A casual reading of the blogosphere is that Open Data is good, Secret Data is bad. Remarkably, there has been very little discussion given to the property right…
Read MoreIn a recent interview on Retraction Watch, Andrew Gelman reveals that what keeps him up at night isn’t scientific fraud, it’s “the sheer number of unreliable studies — uncorrected, unretracted — that have littered the literature.” He then goes on…
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