Cross-Sectional Causal Analysis is a causal inference method that identifies and estimates cause-and-effect relationships from cross-sectional data by leveraging structural assumptions or instrumental variables to distinguish direct causal effects from mere associations.
63
Publications
4.2K
Citations
160
Authors
112
Institutions
Publications per year
2017–2026
26
Publications
63
1–5 of 63
Authors
160
- OH
3
h-index
- AG
2
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- KW
2
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- BG
1
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- JL
1
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1–5 of 160
Institutions
112
Johns Hopkins University
Baltimore, United States
2 h-index
6 publications
254 citations
Yale University
New Haven, United States
2 h-index
2 publications
221 citations
Fundação Oswaldo Cruz
Rio de Janeiro, Brazil
2 h-index
3 publications
174 citations
University of Georgia
Athens, United States
2 h-index
2 publications
138 citations
University of Arizona
Tucson, United States
1 h-index
1 publications
69 citations
University of Pennsylvania
Philadelphia, United States
1 h-index
1 publications
84 citations
University of Helsinki
Helsinki, Finland
1 h-index
6 publications
564 citations
Iscte – Instituto Universitário de Lisboa
Lisbon, Portugal
1 h-index
2 publications
28 citations
1–8 of 112
Venues
- PLoS ONE
2 publications · 117 citations
2
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- Journal of the American Statistical Association
2 publications · 35 citations
2
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- American Journal of Political Science
AJPS · 2 publications · 531 citations
2
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- Social Indicators Research
2 publications · 96 citations
2
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- RePEc: Research Papers in Economics
Repository · 2 publications · 34 citations
2
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1–5