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

Anastasiya-Mariya Asanov (), Igor Asanov (), Guido Buenstorf (), Valon Kadriu () and Pia Schoch ()
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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

MAGKS Papers on Economics from Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung)

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.

Keywords: Research Transparency; Reporting Bias; Higher Education; Young Researchers (search for similar items in EconPapers)
JEL-codes: A14 A23 C12 I23 (search for similar items in EconPapers)
Pages: 61 pages
Date: 2025
New Economics Papers: this item is included in nep-sog
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Persistent link: https://EconPapers.repec.org/RePEc:mar:magkse:202504

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