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The discovery of long-run causal order: A preliminary investigation

Publication ,  Journal Article
Hoover, KD
Published in: Econometrics
September 1, 2020

The relation between causal structure and cointegration and long-run weak exogeneity is explored using some ideas drawn from the literature on graphical causal modeling. It is assumed that the fundamental source of trending behavior is transmitted from exogenous (and typically latent) trending variables to a set of causally ordered variables that would not themselves display nonstationary behavior if the nonstationary exogenous causes were absent. The possibility of inferring the long-run causal structure among a set of time-series variables from an exhaustive examination of weak exogeneity in irreducibly cointegrated subsets of variables is explored and illustrated.

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Published In

Econometrics

DOI

EISSN

2225-1146

Publication Date

September 1, 2020

Volume

8

Issue

3

Start / End Page

1 / 24

Related Subject Headings

  • 1403 Econometrics
 

Citation

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Hoover, K. D. (2020). The discovery of long-run causal order: A preliminary investigation. Econometrics, 8(3), 1–24. https://doi.org/10.3390/econometrics8030031
Hoover, K. D. “The discovery of long-run causal order: A preliminary investigation.” Econometrics 8, no. 3 (September 1, 2020): 1–24. https://doi.org/10.3390/econometrics8030031.
Hoover KD. The discovery of long-run causal order: A preliminary investigation. Econometrics. 2020 Sep 1;8(3):1–24.
Hoover, K. D. “The discovery of long-run causal order: A preliminary investigation.” Econometrics, vol. 8, no. 3, Sept. 2020, pp. 1–24. Scopus, doi:10.3390/econometrics8030031.
Hoover KD. The discovery of long-run causal order: A preliminary investigation. Econometrics. 2020 Sep 1;8(3):1–24.

Published In

Econometrics

DOI

EISSN

2225-1146

Publication Date

September 1, 2020

Volume

8

Issue

3

Start / End Page

1 / 24

Related Subject Headings

  • 1403 Econometrics