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Beyond Publication Bias

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  • T. D. Stanley

Abstract

This review considers several meta-regression and graphical methods that can differentiate genuine empirical effect from publication bias. Publication selection exists when editors, reviewers, or researchers have a preference for statistically significant results. Because all areas of empirical research are susceptible to publication selection, any average or tally of significant/insignificant studies is likely to be biased and potentially misleading. Meta-regression analysis can see through the murk of random sampling error and selected misspecification bias to identify the underlying statistical structures that characterize genuine empirical effect. Meta-significance testing and precision-effect testing "PET" are offered as a means to identify empirical effect beyond publication bias and are applied to four areas of empirical economics research - minimum wage effects, union-productivity effects, price  elasticities, and tests of the natural rate hypothesis. Copyright Blackwell Publishers Ltd, 2005.

Suggested Citation

  • T. D. Stanley, 2005. "Beyond Publication Bias," Journal of Economic Surveys, Wiley Blackwell, vol. 19(3), pages 309-345, July.
  • Handle: RePEc:bla:jecsur:v:19:y:2005:i:3:p:309-345
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