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The Origins of Reporting Bias: Selective but Unbiased Reporting by Early-Career Researchers?

Author

Listed:
  • Anastasiya-Mariya Asanov

    (University of Kassel, INCHER and Institute of Economics)

  • Igor Asanov

    (University of Kassel, INCHER and Institute of Economics)

  • Guido Buenstorf

    (University of Kassel, INCHER and Institute of Economics)

  • Valon Kadriu

    (University of Kassel, INCHER and Institute of Economics)

  • Pia Schoch

    (University of Kassel, INCHER and Institute of Economics)

Abstract

Doctoral dissertations provide evidence about research practices in early-stage research. We examine reporting bias by manually collecting over 94,000 test statistics from a random sample of German dissertations and their follow-up papers worldwide. We observe selective reporting, as only a fraction of the tests in the dissertations is reported in follow-up papers. Unexpectedly, we find no increase in reporting bias in follow-up papers compared to dissertations nor, generally, reporting bias in dissertations or papers. Self-selection into higher-impact journals based on statistical significance may reconcile our finding of selective yet “unbiased†reporting with prior evidence suggesting pervasive reporting bias.

Suggested Citation

  • Anastasiya-Mariya Asanov & Igor Asanov & Guido Buenstorf & Valon Kadriu & Pia Schoch, 2025. "The Origins of Reporting Bias: Selective but Unbiased Reporting by Early-Career Researchers?," MAGKS Papers on Economics 202504, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  • Handle: RePEc:mar:magkse:202504
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    References listed on IDEAS

    as
    1. Bruns, Stephan B. & Kalthaus, Martin, 2020. "Flexibility in the selection of patent counts: Implications for p-hacking and evidence-based policymaking," Research Policy, Elsevier, vol. 49(1).
    2. 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.
    3. Eva Vivalt, 2019. "Specification Searching and Significance Inflation Across Time, Methods and Disciplines," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(4), pages 797-816, August.
    4. 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.
    5. 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).
    6. Guido W. Imbens, 2021. "Statistical Significance, p-Values, and the Reporting of Uncertainty," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 157-174, Summer.
    7. Alexandre Belloni & Victor Chernozhukov & Christian Hansen, 2014. "Inference on Treatment Effects after Selection among High-Dimensional Controlsâ€," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 608-650.
    8. Anastasiya-Mariya Asanov & Igor Asanov & Guido Buenstorf & Valon Kadriu & Pia Schoch, 2024. "Patterns of dissertation dissemination: publication-based outcomes of doctoral theses in the social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(4), pages 2389-2405, April.
    9. Cilliers,Jacobus & Nour Elashmawy & David McKenzie, 2024. "Using Post-Double Selection Lasso in Field Experiments," Policy Research Working Paper Series 10931, The World Bank.
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    JEL classification:

    • A14 - General Economics and Teaching - - General Economics - - - Sociology of Economics
    • A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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