Specification Searching and Significance Inflation Across Time, Methods and Disciplines
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DOI: 10.1111/obes.12289
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Cited by:
- Peter Pütz & Stephan B. Bruns, 2021. "The (Non‐)Significance Of Reporting Errors In Economics: Evidence From Three Top Journals," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 348-373, February.
- Abel Brodeur, Nikolai M. Cook, Anthony Heyes, 2022.
"We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell Us about Publication Bias and p-Hacking in Online Experiments,"
LCERPA Working Papers
am0133, Laurier Centre for Economic Research and Policy Analysis.
- Brodeur, Abel & Cook, Nikolai & Heyes, Anthony, 2022. "We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell Us about Publication Bias and p-Hacking in Online Experiments," IZA Discussion Papers 15478, Institute of Labor Economics (IZA).
- Brodeur, Abel & Cook, Nikolai & Heyes, Anthony, 2022. "We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell Us about Publication Bias and p-Hacking in Online Experiments," MetaArXiv a9vhr, Center for Open Science.
- Brodeur, Abel & Cook, Nikolai & Heyes, Anthony, 2022.
"We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell us about p-Hacking and Publication Bias in Online Experiments,"
GLO Discussion Paper Series
1157, Global Labor Organization (GLO).
- Brodeur, Abel & Cook, Nikolai & Heyes, Anthony, 2022. "We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell us about p-Hacking and Publication Bias in Online Experiments," I4R Discussion Paper Series 8, The Institute for Replication (I4R).
- Brodeur, Abel & Cook, Nikolai M. & Hartley, Jonathan S. & Heyes, Anthony, 2022.
"Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?,"
GLO Discussion Paper Series
1147, Global Labor Organization (GLO).
- Brodeur, Abel & Cook, Nikolai & Hartley, Jonathan & Heyes, Anthony, 2022. "Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?," MetaArXiv uxf39, Center for Open Science.
- Brodeur, Abel & Cook, Nikolai & Hartley, Jonathan S. & Heyes, Anthony, 2022. "Do Pre-registration and Pre-analysis Plans Reduce P-Hacking and Publication Bias?," IZA Discussion Papers 15476, Institute of Labor Economics (IZA).
- Abel Brodeur, Nikolai M. Cook, Jonathan S. Hartley, Anthony Heyes, 2022. "Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?," LCERPA Working Papers am0132, Laurier Centre for Economic Research and Policy Analysis.
- Cristina Blanco-Perez & Abel Brodeur, 2020.
"Publication Bias and Editorial Statement on Negative Findings,"
The Economic Journal, Royal Economic Society, vol. 130(629), pages 1226-1247.
- Brodeur, Abel & Blanco-Perez, Cristina, 2017. "Publication Bias and Editorial Statement on Negative Findings," MetaArXiv xq9nt, Center for Open Science.
- Cristina Blanco-Perez & Abel Brodeur, 2019. "Publication Bias and Editorial Statement on Negative Findings," Working Papers 1907E, University of Ottawa, Department of Economics.
- Blanco-Perez, Cristina & Brodeur, Abel, 2019. "Publication Bias and Editorial Statement on Negative Findings," IZA Discussion Papers 12493, Institute of Labor Economics (IZA).
- Cristina Blanco-Perez & Abel Brodeur, 2019. "Publication Bias and Editorial Statement on Negative Findings," Working Papers 190001, Canadian Centre for Health Economics.
- Graham Elliott & Nikolay Kudrin & Kaspar Wüthrich, 2022.
"Detecting p‐Hacking,"
Econometrica, Econometric Society, vol. 90(2), pages 887-906, March.
- Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2019. "Detecting p-hacking," Papers 1906.06711, arXiv.org, revised May 2021.
- Elliott, Graham & Kudrin, Nikolay & Wüthrich, Kaspar, 2022. "Detecting p‐Hacking," University of California at San Diego, Economics Working Paper Series qt2p04s3dr, Department of Economics, UC San Diego.
- Abel Brodeur & Nikolai Cook & Carina Neisser, 2024.
"p-Hacking, Data type and Data-Sharing Policy,"
The Economic Journal, Royal Economic Society, vol. 134(659), pages 985-1018.
- Brodeur, Abel & Cook, Nikolai & Neisser, Carina, 2022. "P-Hacking, Data Type and Data-Sharing Policy," IZA Discussion Papers 15586, Institute of Labor Economics (IZA).
- Abel Brodeur & Nikolai Cook & Carina Neisser, 2022. "P-Hacking, Data Type and Data-Sharing Policy," ECONtribute Discussion Papers Series 200, University of Bonn and University of Cologne, Germany.
- Abel Brodeur & Scott Carrell & David Figlio & Lester Lusher, 2023.
"Unpacking P-hacking and Publication Bias,"
American Economic Review, American Economic Association, vol. 113(11), pages 2974-3002, November.
- Brodeur, Abel & Carrell, Scott & Figlio, David & Lusher, Lester, 2023. "Unpacking P-Hacking and Publication Bias," I4R Discussion Paper Series 52, The Institute for Replication (I4R).
- Abel Brodeur & Scott E. Carrell & David N. Figlio & Lester R. Lusher, 2023. "Unpacking P-Hacking and Publication Bias," NBER Working Papers 31548, National Bureau of Economic Research, Inc.
- Brodeur, Abel & Carrell, Scott E. & Figlio, David N. & Lusher, Lester, 2023. "Unpacking P-Hacking and Publication Bias," IZA Discussion Papers 16369, Institute of Labor Economics (IZA).
- Abel Brodeur & Nikolai M. Cook & Jonathan S. Hartley & Anthony Heyes, 2024.
"Do Preregistration and Preanalysis Plans Reduce p-Hacking and Publication Bias? Evidence from 15,992 Test Statistics and Suggestions for Improvement,"
Journal of Political Economy Microeconomics, University of Chicago Press, vol. 2(3), pages 527-561.
- Brodeur, Abel & Cook, Nikolai M. & Hartley, Jonathan S. & Heyes, Anthony, 2023. "Do Pre-Registration and Pre-Analysis Plans Reduce p-Hacking and Publication Bias?: Evidence from 15,992 Test Statistics and Suggestions for Improvement," GLO Discussion Paper Series 1147 [pre.], Global Labor Organization (GLO).
- Brodeur, Abel & Cook, Nikolai M. & Hartley, Jonathan S. & Heyes, Anthony, 2024. "Do Pre-Registration and Pre-Analysis Plans Reduce p-Hacking and Publication Bias? Evidence from 15,992 Test Statistics and Suggestions for Improvement," I4R Discussion Paper Series 101, The Institute for Replication (I4R).
- Bruns, Stephan B. & Ioannidis, John P.A., 2020. "Determinants of economic growth: Different time different answer?," Journal of Macroeconomics, Elsevier, vol. 63(C).
- Andrew C. Chang & Trace J. Levinson, 2020. "Raiders of the Lost High-Frequency Forecasts: New Data and Evidence on the Efficiency of the Fed's Forecasting," Finance and Economics Discussion Series 2020-090, Board of Governors of the Federal Reserve System (U.S.).
- Abel Brodeur & Nikolai Cook & Anthony Heyes, 2020. "Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics," American Economic Review, American Economic Association, vol. 110(11), pages 3634-3660, November.
- Nathan Fiala & Ana Garcia-Hernandez & Kritika Narula & Nishith Prakash, 2022. "Wheels of Change: Transforming Girls' Lives with Bicycles," CESifo Working Paper Series 9865, CESifo.
- Anna Dreber & Magnus Johannesson & Yifan Yang, 2024.
"Selective reporting of placebo tests in top economics journals,"
Economic Inquiry, Western Economic Association International, vol. 62(3), pages 921-932, July.
- Dreber, Anna & Johannesson, Magnus & Yang, Yifan, 2023. "Selective Reporting of Placebo Tests in Top Economics Journals," I4R Discussion Paper Series 31, The Institute for Replication (I4R).
- Nathan Fiala & Ana Garcia-Hernandez & Kritika Narula & Nishith Prakash, 2022. "Wheels of Change: Transforming Girls’ Lives with Bicycles," Working papers 2022-04, University of Connecticut, Department of Economics.
- Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Apr 2024.
- Bruns, Stephan B. & Asanov, Igor & Bode, Rasmus & Dunger, Melanie & Funk, Christoph & Hassan, Sherif M. & Hauschildt, Julia & Heinisch, Dominik & Kempa, Karol & König, Johannes & Lips, Johannes & Verb, 2019. "Reporting errors and biases in published empirical findings: Evidence from innovation research," Research Policy, Elsevier, vol. 48(9), pages 1-1.
- Eliot Abrams & Jonathan Libgober & John List, 2020.
"Research Registries: Facts, Myths, and Possible Improvements,"
Artefactual Field Experiments
00703, The Field Experiments Website.
- Eliot Abrams & Jonathan Libgober & John A. List, 2020. "Research Registries: Facts, Myths, and Possible Improvements," NBER Working Papers 27250, National Bureau of Economic Research, Inc.
- Doucouliagos, Hristos & Hinz, Thomas & Zigova, Katarina, 2022.
"Bias and careers: Evidence from the aid effectiveness literature,"
European Journal of Political Economy, Elsevier, vol. 71(C).
- Doucouliagos, Chris & Hinz, Thomas & Zigova, Katarina, 2020. "Bias and Careers: Evidence from the Aid Effectiveness Literature," IZA Discussion Papers 13287, Institute of Labor Economics (IZA).
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