000			01150nam a22001457a 4500
999			_c517369 _d517369
008			210710b ||||| |||| 00| 0 eng d
100			_aBrodeur, A., Cook, N. and Heyes, A. _926416
245			_aMethods matter: P-hacking and publication bias in causal analysis in economics
260			_aThe American Economic Review
300			_a110(11), Nov, 2020: p.3634-3660
520			_aThe credibility revolution in economics has promoted causal identification using randomized control trials (RCT), difference-in-differences (DID), instrumental variables (IV) and regression discontinuity design (RDD). Applying multiple approaches to over 21,000 hypothesis tests published in 25 leading economics journals, we find that the extent of p-hacking and publication bias varies greatly by method. IV (and to a lesser extent DID) are particularly problematic. We find no evidence that (i) papers published in the Top 5 journals are different to others; (ii) the journal "revise and resubmit" process mitigates the problem; (iii) things are improving through time. Reproduced
773			_aThe American Economic Review
906			_aECONOMICS
942			_cAR