Electronic Resource
Oxford, UK; Malden, USA
:
Blackwell Publishing Ltd/Inc.
Journal of economic surveys
19 (2005), S. 0
ISSN:
1467-6419
Source:
Blackwell Publishing Journal Backfiles 1879-2005
Topics:
Economics
Notes:
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.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1111/j.0950-0804.2005.00250.x
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