Causal Relations via Econometrics

Asad Zaman

MPRA Paper from University Library of Munich, Germany

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.

Keywords: causality; regression; Granger Causality; Exogeneity; Cowles Commission; Hendry Methodology; Natural Experiments (search for similar items in EconPapers)
JEL-codes: C59 (search for similar items in EconPapers)
Date: 2008-05-31
New Economics Papers: this item is included in nep-ecm and nep-hpe
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/10128/1/MPRA_paper_10128.pdf original version (application/pdf)

Related works:
Journal Article: Causal Relations via Econometrics (2010)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:10128

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().