Meta-regression analysis: Producing credible estimates from diverse evidence
Meta-regression analysis: Producing credible estimates from diverse evidence
复制标题
元回归分析：从不同的证据中产生可靠的估计
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
C. Doucouliagos
中科院分区：
文献类型：
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作者：
C. Doucouliagos
好的政策需要可靠的科学知识，但存在许多障碍。大多数计量经济学估计数缺乏足够的统计效力;有些估计数无法复制;出版物选择偏差（有选择地报告结果）很常见;大多数政策问题的证据基础差异很大。元回归分析提供了一种方法来增加统计力量，纠正一系列偏见的证据基础，并使矛盾的计量经济学估计的不断流动有意义。它使决策者能够制定循证政策，即使最初的证据基础缺乏可信度。
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.