Cross Section Interpolation
Cross Section Interpolation is a methodological technique in econometrics and spatial analysis that estimates unobserved values within a cross-sectional dataset by leveraging spatial, categorical, or contextual proximity among units at a given point in time.
4
Publications
112
Citations
12
Authors
6
Institutions
Publications per year
2017–2026
1
Parents
4
1–4 of 4
12
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1–5 of 12
6

Severance Hospital
Seoul, South Korea
1 h-index
1 publications
63 citations
University of Houston
Houston, United States
1 h-index
2 publications
38 citations
ORCID
Bethesda, United States
1 h-index
1 publications
18 citations
Paul Scherrer Institute
Villigen, Switzerland
1 h-index
1 publications
12 citations

Saint Louis University
St Louis, United States
1 h-index
2 publications
36 citations

Idaho National Laboratory
Idaho Falls, United States
1 h-index
2 publications
24 citations
1–6 of 6
1 publications · 18 citations
1
h-index
1 publications · 12 citations
1
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Repository · 1 publications · 63 citations
1
h-index
1 publications · 19 citations
1
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1–4