Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/202804 
Year of Publication: 
2019
Series/Report no.: 
IZA Discussion Papers No. 12458
Publisher: 
Institute of Labor Economics (IZA), Bonn
Abstract: 
Recently, there has been much discussion about replicability and credibility. By integrating the full research record, increasing statistical power, reducing bias and enhancing credibility, meta-analysis is widely regarded as 'best evidence'. Through Monte Carlo simulation, closely calibrated on the typical conditions found among 6,700 economics research papers, we find that large biases and high rates of false positives will often be found by conventional meta-analysis methods. Nonetheless, the routine application of meta-regression analysis and considerations of practical significance largely restore research credibility.
Subjects: 
meta-analysis
meta-regression
publication bias
credibility
simulations
JEL: 
C10
C12
C13
C40
Document Type: 
Working Paper

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