Causal Forecasting
Causal Forecasting is a forecasting method that belongs to the class of explanatory models by identifying and quantifying the cause-and-effect relationships between the variable to be forecasted and one or more independent predictor variables.
550
Publications
30.9K
Citations
1.2K
Authors
671
Institutions
Publications per year
2017–2026
187
Variants
Explanatory Forecasting
550
Wiener–Granger Causality: A well established methodology
Steven L. Bressler, Anil K. Seth · NeuroImage · 2010 · 874 citations · Full text
Autoregressive modelling and money-income causality detection
Chêng Hsiao · Journal of Monetary Economics · 1981 · 722 citations
Social Sciences, Economics, Finance +10
1–5 of 550
1.2K
7
h-index
7
h-index
5
h-index
Seoul National University of Science and Technology, South Korea
5 publications · 304 citations
5
h-index
5
h-index
1–5 of 1.2K
671

University of Pretoria
Pretoria, South Africa
10 h-index
13 publications
899 citations

Chinese Academy of Sciences
Beijing, China
9 h-index
11 publications
955 citations
University of Chinese Academy of Sciences
Beijing, China
8 h-index
13 publications
776 citations
Maastricht University
Maastricht, The Netherlands
8 h-index
13 publications
610 citations

University of Warwick
Coventry, United Kingdom
7 h-index
9 publications
873 citations
North Carolina State University
Raleigh, United States
7 h-index
10 publications
737 citations

University of Victoria
Victoria, Canada
7 h-index
10 publications
1.5K citations

Australian National University
Canberra, Australia
6 h-index
8 publications
242 citations
1–8 of 671
21 publications · 881 citations
15
h-index
Repository · 22 publications · 750 citations
14
h-index
Repository · 17 publications · 530 citations
14
h-index
13 publications · 857 citations
13
h-index
15 publications · 931 citations
12
h-index
1–5