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Linear Spatial Dependence Models for Cross-Section Data

In: Spatial Econometrics

Author

Listed:
  • J. Paul Elhorst

    (University of Groningen)

Abstract

This chapter gives an overview of all linear spatial econometric models with different combinations of interaction effects that can be considered, as well as the relationships between them. It also provides a detailed overview of the direct and indirect effects estimates that can be derived from these models. In addition, it critically discusses the stationarity conditions that need to be imposed on the spatial interaction parameters and the spatial weights matrix, as well as the row-normalization procedure of the spatial weights matrix. The well-known cross-sectional dataset of Anselin (1988), explaining the crime rate by household income and housing values in 49 Columbus, Ohio neighborhoods, is used for illustration purposes.

Suggested Citation

  • J. Paul Elhorst, 2014. "Linear Spatial Dependence Models for Cross-Section Data," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 5-36, Springer.
  • Handle: RePEc:spr:sbrchp:978-3-642-40340-8_2
    DOI: 10.1007/978-3-642-40340-8_2
    as

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