Meta-regression analysis: Producing credible estimates from diverse evidence

Chris Doucouliagos

IZA World of Labor, 2016, No 320, 320

Abstract: Good policy requires reliable scientific knowledge, but there are many obstacles. Most econometric estimates lack adequate statistical power; some estimates cannot be replicated; publication selection bias (the selective reporting of results) is common; and there is wide variation in the evidence base on most policy issues. Meta-regression analysis offers a way to increase statistical power, correct the evidence base for a range of biases, and make sense of the unceasing flow of contradictory econometric estimates. It enables policymakers to develop evidence-based policies even when the initial evidence base lacks credibility.

Keywords: bias; credibility; research synthesis; meta-regression (search for similar items in EconPapers)
JEL-codes: C01 C50 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (13)

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