Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/148544 
Autor:innen: 
Erscheinungsjahr: 
2016
Quellenangabe: 
[Journal:] IZA World of Labor [ISSN:] 2054-9571 [Article No.:] 320 [Publisher:] Institute for the Study of Labor (IZA) [Place:] Bonn [Year:] 2016
Verlag: 
Institute for the Study of Labor (IZA), Bonn
Zusammenfassung: 
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.
Schlagwörter: 
bias
credibility
research synthesis
meta-regression
JEL: 
C01
C50
Persistent Identifier der Erstveröffentlichung: 
Dokumentart: 
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