| 000 -LEADER |
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| fixed length control field |
01150nam a22001457a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
210710b ||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Brodeur, A., Cook, N. and Heyes, A. |
| 245 ## - TITLE STATEMENT |
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| Title |
Methods matter: P-hacking and publication bias in causal analysis in economics |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Place of publication, distribution, etc |
The American Economic Review |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
110(11), Nov, 2020: p.3634-3660 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
The 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 ## - HOST ITEM ENTRY |
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| Main entry heading |
The American Economic Review |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
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| Subject DIP |
ECONOMICS |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Item type |
Articles |
