The Identification and Prevention of Publication Bias in the Social Sciences and Economics
Systematic research reviews have become essential in all empirical sciences. However, the validity of research syntheses is threatened by the fact that not all studies on a given topic can be summarized. Research reviews may suffer from missing data, and this is especially crucial in those cases where the selectivity of studies and their findings affects the summarized result. So-called publication bias is a type of missing data and a phenomenon that jeopardizes the validity of systematic or quantitative, as well as narrative, reviews. Publication bias exists if the preparation, submission or publication of research findings depend on characteristics of just these research results, e. g. their direction or statistical significance. This article describes methods to identify publication bias in the context of meta-analysis. It also reviews empirical studies on the prevalence of publication bias, especially in the social and economic sciences, where publication bias also seems to be prevalent. Several proposals to prevent publication bias are discussed.
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Volume (Year): 231 (2011)
Issue (Month): 5-6 (November)
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- T. D. Stanley, 2008.
"Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 70(1), pages 103-127, 02.
- T.D. Stanley, 2006. "Meta-Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection," Economics Series 2006_20, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
- J. Bradford De Long & Kevin Lang, .
"Are All Economic Hypotheses False?,"
J. Bradford De Long's Working Papers
_117, University of California at Berkeley, Economics Department.
- 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.
- Orley Ashenfelter & Colm Harmon & Hessel Oosterbeek, 2000.
"A Review of Estimates of the Schooling/Earnings Relationship, with Tests for Publication Bias,"
NBER Working Papers
7457, National Bureau of Economic Research, Inc.
- 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.
- Ashenfelter, O. & Harmon, C. & Oosterbeek, H., 1999. "A Review of Estimates of the Schooling/ Earnings Relationship, with tests for Publication Bias," Papers 99/20, College Dublin, Department of Political Economy-.
- Chris Doucouliagos, 2005. "Publication Bias in the Economic Freedom and Economic Growth Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 367-387, 07.
- Card, David & Krueger, Alan B, 1995. "Time-Series Minimum-Wage Studies: A Meta-analysis," American Economic Review, American Economic Association, vol. 85(2), pages 238-43, May.
- T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, 07.
- Anna Matysiak & Daniele Vignoli, 2006. "Fertility and women’s employment: a meta-analysis," MPIDR Working Papers WP-2006-048, Max Planck Institute for Demographic Research, Rostock, Germany.
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