Spatial Cross-section Models

Spatial Cross-Section Models is a class of spatial econometric models that belong to the broader category of cross-sectional data analysis methods, distinguished by their explicit incorporation of spatial dependence and spatial heterogeneity in observational units across a geographical space at a single point in time.

143

Publications

10.5K

Citations

269

Authors

217

Institutions

Publications per year

2017–2026

43

Authors

269

  1. JP
    J. Paul Elhorst

    University of Groningen, Netherlands

    6 publications · 167 citations

    6

    h-index

  2. IR
    Ingmar R. Prucha

    University of Maryland, College Park, United States

    4 publications · 592 citations

    4

    h-index

  3. HH
    Harry H. Kelejian

    University of Maryland, College Park, United States

    4 publications · 498 citations

    4

    h-index

  4. DQ
    Danny Quah

    London School of Economics and Political Science, United Kingdom

    3 publications · 1.6K citations

    3

    h-index

  5. KW
    Katja Wolf

    Institut für Arbeitsmarkt und Berufsforschung, Germany

    3 publications · 110 citations

    3

    h-index

1–5 of 269

Venues

  1. SSRN Electronic Journal

    Repository · 12 publications · 377 citations

    12

    h-index

  2. The Annals of Regional Science

    9 publications · 168 citations

    9

    h-index

  3. Papers of the Regional Science Association

    7 publications · 569 citations

    7

    h-index

  4. Regional Science and Urban Economics

    5 publications · 530 citations

    5

    h-index

  5. RePEc: Research Papers in Economics

    Repository · 5 publications · 169 citations

    5

    h-index

1–5