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Granger causality

Abstract:
Despite an extraordinary level of debate about the concept of `causality' and establishing causal links, Granger (1969) proposed an approach based on the arrow of time and the eects of eliminating the history of some variables from the joint distribution of all variables. There was no Granger causality from the eliminated variables if the conditional and marginal distributions of the remaining variables were the same. In practice, the non-operational nature of his denition was nessed by testing whether dropping a subset of variables from a larger set aected the goodness of t of models of the remaining variables. This paper notes the drawbacks that arise from such a route to making his concept of causality operational, but also emphasises its pervasive role in econometric modelling of time series.
Publication status:
Published
Peer review status:
Peer reviewed

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Publication website:
https://www.ejpam.com/index.php/ejpam/article/view/2948

Authors

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Institution:
University of Oxford
Division:
SSD
Department:
Economics
Sub department:
EMOD
Role:
Author


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Funder identifier:
https://ror.org/00epmv149
Grant:
236935
Programme:
Statistics Norway
More from this funder
Funder identifier:
https://ror.org/04h2x1077
Grant:
9907422
More from this funder
Funder identifier:
https://ror.org/01je3h843
Grant:
20029822


Publisher:
New York Business Global
Journal:
European Journal of Pure and Applied Mathematics More from this journal
Volume:
10
Issue:
1
Pages:
12-29
Publication date:
2017-01-06
Acceptance date:
2016-12-16
ISSN:
1307-5543


Language:
English
Keywords:
Pubs id:
pubs:666207
UUID:
uuid:72a89c73-635e-4549-ae9d-a84a23cc18b3
Local pid:
pubs:666207
Source identifiers:
666207
Deposit date:
2016-12-16
ARK identifier:

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