Granger Causality Analysis
Granger Causality Analysis is a statistical method for inferring directed functional interactions between time series by determining whether past values of one signal provide unique information that improves the prediction of another signal beyond what is achievable using only its own past values.
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2017–2026
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Variants
Granger Causality
Parents
5.6K
Inference in Linear Time Series Models with some Unit Roots
Christopher A. Sims, James H. Stock, Mark W. Watson · Econometrica · 1990 · 2.6K citations
Corruption and Economic Growth
Pak Hung Mo · Journal of Comparative Economics · 2001 · 1.4K citations
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Eastern Mediterranean University
Famagusta, Cyprus
37 h-index
119 publications
7.2K citations
University of Florida
Gainesville, United States
34 h-index
114 publications
15.2K citations
COMSATS University Islamabad
Islamabad, Pakistan
31 h-index
80 publications
6K citations

University of Electronic Science and Technology of China
Chengdu, China
29 h-index
210 publications
11K citations

University of Pretoria
Pretoria, South Africa
27 h-index
87 publications
5K citations

Chinese Academy of Sciences
Beijing, China
27 h-index
112 publications
5.3K citations

Beijing Institute of Technology
Beijing, China
24 h-index
48 publications
3.7K citations

University of Southern Queensland
Toowoomba, Australia
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40 publications
2.6K citations
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Repository · 160 publications · 7.2K citations
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