A review of the Granger-causality fallacy

Methods used to infer causal relations from data rather than knowledge of mechanisms are most helpful and exploited only if the theoretical background is insufficient or experimentation impossible. The review of literature shows that when an investigator ha...

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Main Author: Mariusz Maziarz
Format: Article
Language:deu
Published: Editura ASE Bucuresti 2015-05-01
Series:The Journal of Philosophical Economics
Subjects:
Online Access: http://jpe.ro/pdf.php?id=7116
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author Mariusz Maziarz
author_facet Mariusz Maziarz
author_sort Mariusz Maziarz
collection DOAJ
description Methods used to infer causal relations from data rather than knowledge of mechanisms are most helpful and exploited only if the theoretical background is insufficient or experimentation impossible. The review of literature shows that when an investigator has no prior knowledge of the researched phenomenon, no result of the Granger- causality test has any epistemic utility due to different possible interpretations. (1) Rejecting the null in one of the tests can be interpreted as either a true causal relation, opposite direction of the true causation, instant causality, time series cointegration, not frequent enough sampling, etc. (2) Bi-directional Granger causality can be read either as instant causality or common cause fallacy. (3) Non-rejection of both nulls possibly means either indirect or nonlinear causality, or no causal relation.
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spelling doaj.art-87b038b76d66432a88618b7517c06ba72022-12-22T03:24:23ZdeuEditura ASE BucurestiThe Journal of Philosophical Economics1843-22981844-82082015-05-01VIII286105A review of the Granger-causality fallacyMariusz Maziarz0 Warsaw School of Economics Methods used to infer causal relations from data rather than knowledge of mechanisms are most helpful and exploited only if the theoretical background is insufficient or experimentation impossible. The review of literature shows that when an investigator has no prior knowledge of the researched phenomenon, no result of the Granger- causality test has any epistemic utility due to different possible interpretations. (1) Rejecting the null in one of the tests can be interpreted as either a true causal relation, opposite direction of the true causation, instant causality, time series cointegration, not frequent enough sampling, etc. (2) Bi-directional Granger causality can be read either as instant causality or common cause fallacy. (3) Non-rejection of both nulls possibly means either indirect or nonlinear causality, or no causal relation. http://jpe.ro/pdf.php?id=7116 Granger-causalityepistemology of causalitycausality testing
spellingShingle Mariusz Maziarz
A review of the Granger-causality fallacy
The Journal of Philosophical Economics
Granger-causality
epistemology of causality
causality testing
title A review of the Granger-causality fallacy
title_full A review of the Granger-causality fallacy
title_fullStr A review of the Granger-causality fallacy
title_full_unstemmed A review of the Granger-causality fallacy
title_short A review of the Granger-causality fallacy
title_sort review of the granger causality fallacy
topic Granger-causality
epistemology of causality
causality testing
url http://jpe.ro/pdf.php?id=7116
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