Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/238790 
Authors: 
Year of Publication: 
2010
Citation: 
[Journal:] International Econometric Review (IER) [ISSN:] 1308-8815 [Volume:] 2 [Issue:] 1 [Publisher:] Econometric Research Association (ERA) [Place:] Ankara [Year:] 2010 [Pages:] 36-56
Publisher: 
Econometric Research Association (ERA), Ankara
Abstract: 
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.
Subjects: 
Causality
Regression
Exogeneity
Hendry Methodology
Natural Experiments
JEL: 
C
C5
C59
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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