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What Fuels Publication Bias?: Theoretical and Empirical Analyses of Risk Factors Using the Caliper Test

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  • Auspurg Katrin
  • Hinz Thomas

    (Department of History and Sociology, Box D40, University of Konstanz, 78457 Konstanz, Germany)

Abstract

Significance tests were originally developed to enable more objective evaluations of research results. Yet the strong orientation towards statistical significance encourages biased results, a phenomenon termed “publication bias”. Publication bias occurs whenever the likelihood or time-lag of publication, or the prominence, language, impact factor of journal space or the citation rate of studies depend on the direction and significance of research findings.

Suggested Citation

  • Auspurg Katrin & Hinz Thomas, 2011. "What Fuels Publication Bias?: Theoretical and Empirical Analyses of Risk Factors Using the Caliper Test," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(5-6), pages 636-660, October.
    • Handle: RePEc:jns:jbstat:v:231:y:2011:i:5-6:p:636-660
    DOI: 10.1515/jbnst-2011-5-607
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    References listed on IDEAS

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    1. Alchian, Armen A & Demsetz, Harold, 1972. "Production , Information Costs, and Economic Organization," American Economic Review, American Economic Association, vol. 62(5), pages 777-795, December.
    2. Rose Baker & Dan Jackson, 2006. "Using Journal Impact Factors to Correct for the Publication Bias of Medical Studies," Biometrics, The International Biometric Society, vol. 62(3), pages 785-792, September.
    3. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    4. Susan Feigenbaum & David M. Levy, 1996. "The Technological Obsolescence Of Scientific Fraud," Rationality and Society, , vol. 8(3), pages 261-276, August.
    5. Colin B. Begg & Jesse A. Berlin, 1988. "Publication Bias: A Problem in Interpreting Medical Data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 151(3), pages 419-445, May.
    6. Stanley, T. D. & Doucouliagos, Chris, 2007. "Identifying and correcting publication selection bias in the efficiency-wage literature: Heckman Meta-Regression," Working Papers eco_2007_11, Deakin University, Department of Economics.
    7. Gerber, Alan & Malhotra, Neil, 2008. "Do Statistical Reporting Standards Affect What Is Published? Publication Bias in Two Leading Political Science Journals," Quarterly Journal of Political Science, now publishers, vol. 3(3), pages 313-326, October.
    8. Stanley, T. D. & Jarrell, Stephen B. & Doucouliagos, Hristos, 2010. "Could It Be Better to Discard 90% of the Data? A Statistical Paradox," The American Statistician, American Statistical Association, vol. 64(1), pages 70-77.
    9. Stephan, Paula E., 2010. "The Economics of Science," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 217-273, Elsevier.
    10. De Long, J Bradford & Lang, Kevin, 1992. "Are All Economic Hypotheses False?," Journal of Political Economy, University of Chicago Press, vol. 100(6), pages 1257-1272, December.
    11. T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, July.
    12. David M Levy & Sandra J Peart, 2008. "Inducing Greater Transparency: Towards the Establishment of Ethical Rules for Econometrics," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 34(1), pages 103-114, Winter.
    13. Doucouliagos, Hristos & Stanley, T. D., 2008. "Theory competition and selectivity: are all economic facts greatly exaggerated?," Working Papers eco_2008_06, Deakin University, Department of Economics.
    14. Alan S. Gerber & Neil Malhotra, 2008. "Publication Bias in Empirical Sociological Research," Sociological Methods & Research, , vol. 37(1), pages 3-30, August.
    15. Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-661, September.
    16. Ashenfelter, Orley & Harmon, Colm & Oosterbeek, Hessel, 1999. "A review of estimates of the schooling/earnings relationship, with tests for publication bias," Labour Economics, Elsevier, vol. 6(4), pages 453-470, November.
    17. Michael Graber & Andrey Launov & Klaus Wälde, 2008. "Publish or Perish? The Increasing Importance of Publications for Prospective Economics Professors in Austria, Germany and Switzerland," German Economic Review, Verein für Socialpolitik, vol. 9(4), pages 457-472, November.
    18. Anatol Rapoport, 1998. "Decision Theory and Decision Behaviour," Palgrave Macmillan Books, Palgrave Macmillan, edition 0, number 978-0-230-37776-9, December.
    19. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    20. Michael Graber & Andrey Launov & Klaus Wälde, 2008. "Publish or Perish? The Increasing Importance of Publications for Prospective Economics Professors in Austria, Germany and Switzerland," German Economic Review, Verein für Socialpolitik, vol. 9(4), pages 457-472, November.
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    2. Carl Berning & Bernd Weiß, 2016. "Publication bias in the German social sciences: an application of the caliper test to three top-tier German social science journals," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 901-917, March.

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