Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/238790 
Autor:innen: 
Erscheinungsjahr: 
2010
Quellenangabe: 
[Journal:] International Econometric Review (IER) [ISSN:] 1308-8815 [Volume:] 2 [Issue:] 1 [Publisher:] Econometric Research Association (ERA) [Place:] Ankara [Year:] 2010 [Pages:] 36-56
Verlag: 
Econometric Research Association (ERA), Ankara
Zusammenfassung: 
Applied econometric work takes a superficial approach to causality. Understanding economic affairs, making good policy decisions, and progress in the economic discipline depend on our ability to infer causal relations from data. We review the dominant approaches to causality in econometrics, and suggest why they fail to give good results. We feel the problem cannot be solved by traditional tools, and requires some out-of-the-box thinking. Potentially promising approaches to solutions are discussed.
Schlagwörter: 
Causality
Regression
Exogeneity
Hendry Methodology
Natural Experiments
JEL: 
C
C5
C59
Creative-Commons-Lizenz: 
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Dokumentart: 
Article

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