Endogeneity In Spatial Models

Endogeneity in Spatial Models is the systematic error arising in spatial econometric analyses when spatially correlated omitted variables, measurement errors, or simultaneous relationships bias the estimated parameters due to the improper specification of spatial dependencies among observations.

86

Publications

6.8K

Citations

159

Authors

138

Institutions

Publications per year

2017–2026

22

Authors

159

  1. MK
    Madina Kukenova

    Business School Lausanne, Switzerland

    4 publications · 218 citations

    4

    h-index

  2. JM
    José‐Antonio Monteiro

    World Trade Organization, Switzerland

    4 publications · 218 citations

    4

    h-index

  3. LA
    Luc Anselin

    Arizona State University, United States

    3 publications · 1.6K citations

    3

    h-index

  4. JP
    J. Paul Elhorst

    University of Groningen, Netherlands

    3 publications · 191 citations

    3

    h-index

  5. EM
    Ernest Miguélez

    Universitat de Barcelona, Spain

    2 publications · 55 citations

    2

    h-index

1–5 of 159

Venues

  1. Regional Science and Urban Economics

    5 publications · 405 citations

    5

    h-index

  2. Journal of Regional Science

    JRS · 5 publications · 604 citations

    5

    h-index

  3. SSRN Electronic Journal

    Repository · 5 publications · 213 citations

    5

    h-index

  4. Journal of Econometrics

    4 publications · 173 citations

    4

    h-index

  5. Spatial Economic Analysis

    SEA · 3 publications · 82 citations

    3

    h-index

1–5