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Publication Bias and Editorial Statement on Negative Findings

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  • Brodeur, Abel
  • Blanco-Perez, Cristina

Abstract

In February 2015, the editors of eight health economics journals sent out an editorial statement which aims to reduce the incentives to engage in specification searching and reminds referees to accept studies that: "have potential scientific and publication merit regardless of whether such studies' empirical findings do or do not reject null hypotheses that may be specified." In this study, we collect z-statistics from two health economics journals and compare the distribution of tests before and after the editorial statement. Our results suggest that the editorial statement decreased the proportion of test statistics rejecting the null hypothesis and that incentives may be aligned to promote more transparent research.

Suggested Citation

  • Brodeur, Abel & Blanco-Perez, Cristina, 2017. "Publication Bias and Editorial Statement on Negative Findings," MetaArXiv xq9nt, Center for Open Science.
  • Handle: RePEc:osf:metaar:xq9nt
    DOI: 10.31219/osf.io/xq9nt
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    Cited by:

    1. Roman Horvath & Ali Elminejad & Tomas Havranek, 2020. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," Working Papers IES 2020/32, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
    2. Zigraiova, Diana & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2021. "How puzzling is the forward premium puzzle? A meta-analysis," European Economic Review, Elsevier, vol. 134(C).
    3. Cristina Blanco-Perez & Abel Brodeur, 2020. "Publication Bias and Editorial Statement on Negative Findings," Economic Journal, Royal Economic Society, vol. 130(629), pages 1226-1247.
    4. Jindrich Matousek & Tomas Havranek & Zuzana Irsova, 2022. "Individual discount rates: a meta-analysis of experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 318-358, February.
    5. Drivas, Kyriakos & Kremmydas, Dimitris, 2020. "The Matthew effect of a journal's ranking," Research Policy, Elsevier, vol. 49(4).
    6. Cristina Blanco-Perez & Abel Brodeur, 2019. "Transparency in empirical economic research," IZA World of Labor, Institute of Labor Economics (IZA), pages 467-467, November.
    7. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," EconStor Preprints 223060, ZBW - Leibniz Information Centre for Economics.
    8. Tomáš Havránek & T. D. Stanley & Hristos Doucouliagos & Pedro Bom & Jerome Geyer‐Klingeberg & Ichiro Iwasaki & W. Robert Reed & Katja Rost & R. C. M. van Aert, 2020. "Reporting Guidelines For Meta‐Analysis In Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 469-475, July.
    9. Brodeur, Abel & Cook, Nikolai & Heyes, Anthony, 2018. "Methods Matter: P-Hacking and Causal Inference in Economics," IZA Discussion Papers 11796, Institute of Labor Economics (IZA).
    10. Bajzik, Josef & Havranek, Tomas & Kolcunova, Dominika, 2021. "When Does Monetary Policy Sway House Prices? A Meta-Analysis," CEPR Discussion Papers 16196, C.E.P.R. Discussion Papers.
    11. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
    12. Philip Clarke & John Buckell & Adrian Barnett, 2020. "Registered Reports: Time to Radically Rethink Peer Review in Health Economics," PharmacoEconomics - Open, Springer, vol. 4(1), pages 1-4, March.
    13. Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.
    14. 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.

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    More about this item

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • I10 - Health, Education, and Welfare - - Health - - - General

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