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Publication Bias and Editorial Statement on Negative Findings

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  • Blanco-Perez, Cristina

    (University of Ottawa)

  • Brodeur, Abel

    (University of Ottawa)

Abstract

In February 2015, the editors of eight health economics journals sent out an editorial statement which aims to reduce the extent of 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". Guided by a pre-analysis, we test whether the editorial statement decreased the extent of publication bias. Our differences-in-differences estimates suggest that the statement decreased the proportion of tests rejecting the null hypothesis by 18 percentage points. Our findings suggest that incentives may be aligned to promote more transparent research.

Suggested Citation

  • Blanco-Perez, Cristina & Brodeur, Abel, 2019. "Publication Bias and Editorial Statement on Negative Findings," IZA Discussion Papers 12493, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp12493
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    References listed on IDEAS

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    Cited by:

    1. 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).
    2. Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.
    3. 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.
    4. 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.
    5. 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.
    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. 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).
    8. Ehrenbergerova, Dominika & Bajzik, Josef & Havranek, Tomas, 2021. "When Does Monetary Policy Sway House Prices? A Meta-Analysis," EconStor Preprints 234126, ZBW - Leibniz Information Centre for Economics.
    9. 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.
    10. 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).
    11. Drivas, Kyriakos & Kremmydas, Dimitris, 2020. "The Matthew effect of a journal's ranking," Research Policy, Elsevier, vol. 49(4).
    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.

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    More about this item

    Keywords

    research in economics; pre-analysis plan; specification searching; publication bias; incentives to publish;
    All these keywords.

    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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