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

Authors

12

  1. GL
    Gerhard Laub

    Siemens (Germany), Germany

    1 publications · 63 citations

    1

    h-index

  2. RG
    R. Goldflam

    University of Houston, United States

    1 publications · 19 citations

    1

    h-index

  3. DC
    Daisy Chien

    Beth Israel Deaconess Hospital, United States

    1 publications · 63 citations

    1

    h-index

  4. JJ
    Jin‐Yang Joo

    Yonsei University, South Korea

    1 publications · 63 citations

    1

    h-index

  5. SL
    Seung‐Koo Lee

    Yonsei University, South Korea

    1 publications · 63 citations

    1

    h-index

1–5 of 12

Venues

  1. Journal of Hydrologic Engineering

    1 publications · 18 citations

    1

    h-index

  2. Nuclear Science and Engineering

    1 publications · 12 citations

    1

    h-index

  3. PubMed

    Repository · 1 publications · 63 citations

    1

    h-index

  4. The Journal of Chemical Physics

    1 publications · 19 citations

    1

    h-index

1–4