Causal Impact Decomposition
Causal Impact Decomposition is a methodological framework within causal forecasting that identifies and quantifies the distinct contributions of individual causal factors to an observed outcome by isolating their temporal and structural effects from confounding influences.
61
Publications
6.4K
Citations
147
Authors
117
Institutions
Publications per year
2017–2026
25
Parents
61
Yann Algan, Pierre Cahuc · American Economic Review · 2010 · 1.3K citations · Full text
The Causal Impact of Media in Financial Markets
Joseph Engelberg, Christopher A. Parsons · The Journal of Finance · 2011 · 1.1K citations
Business, Finance, Causal Inference +15
1–5 of 61
147
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University of Southern California, United States
2 publications · 1.2K citations
2
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2
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1–5 of 147
117

University of Toronto
Toronto, Canada
3 h-index
7 publications
6K citations
University of Southern California
Los Angeles, United States
3 h-index
3 publications
143 citations

University of Turin
Turin, Italy
2 h-index
6 publications
140 citations
Google (United States)
Mountain View, United States
2 h-index
4 publications
122 citations

Birkbeck, University of London
London, United Kingdom
2 h-index
2 publications
40 citations

Johns Hopkins University
Baltimore, United States
2 h-index
2 publications
249 citations
Public Health Ontario
Toronto, Canada
2 h-index
6 publications
5.9K citations
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Paris, France
2 h-index
2 publications
37 citations
1–8 of 117
Repository · 6 publications · 274 citations
6
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Repository · 4 publications · 85 citations
4
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3 publications · 259 citations
3
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SMR · 2 publications · 78 citations
2
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Conference · 1 publications · 15 citations
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1–5