Data and Code for: Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics: Comment
Principal Investigator(s): View help for Principal Investigator(s) Sebastian Kranz, Ulm University; Peter Pütz, Bielefeld University
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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Data | 03/21/2022 06:27:AM | ||
Docker | 05/31/2022 01:06:AM | ||
R-packages | 05/31/2022 01:09:AM | ||
Results | 03/21/2022 06:15:AM | ||
Scripts | 03/21/2022 06:15:AM | ||
Tex_templates | 03/21/2022 06:15:AM | ||
LICENSE.txt | text/plain | 18.2 KB | 05/30/2022 09:03:PM |
README.md | text/x-web-markdown | 12.7 KB | 05/30/2022 08:31:PM |
README.pdf | application/pdf | 142.5 KB | 05/30/2022 08:38:PM |
mm_replication.Rproj | text/plain | 218 bytes | 03/21/2022 02:14:AM |
Project Citation:
Kranz, Sebastian, and Pütz, Peter. Data and Code for: Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics: Comment. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-08-23. https://doi.org/10.3886/E159221V1
Project Description
Summary:
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Brodeur, Cook, and Heyes (2020) study hypothesis tests from economic articles and find evidence for p-hacking and publication bias, in particular for IV and DID studies. When adjusting for rounding errors (introducing a novel method), statistical evidence for p-hacking from randomization tests and caliper tests at the 5% significance threshold vanishes for DID studies but remains for IV studies. Results at the 1% and 10% significance thresholds remain largely similar. In addition, Brodeur, Cook, and Heyes derive latent distributions of z-statistics absent publication bias using two different approaches. We establish for each approach a result that challenges its applicability.
Scope of Project
Subject Terms:
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p-hacking;
publication bias ;
research methods ;
causal inference;
rounding;
replication
JEL Classification:
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A14 Sociology of Economics
B41 Economic Methodology
C12 Hypothesis Testing: General
C40 Econometric and Statistical Methods: Special Topics: General
C52 Model Evaluation, Validation, and Selection
A14 Sociology of Economics
B41 Economic Methodology
C12 Hypothesis Testing: General
C40 Econometric and Statistical Methods: Special Topics: General
C52 Model Evaluation, Validation, and Selection
Time Period(s):
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1/1/2015 – 12/31/2018 (2015 and 2018)
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