Linear Spatial Dependence Models for Cross-Section Data

J.Paul Elhorst

Chapter Chapter 2 in Spatial Econometrics, 2014, pp 5-36 from Springer

Abstract: 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.

Keywords: Interaction effects; Model overview; Stationarity conditions; Normalization; Spatial spillover effects; Software; Crime (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-3-642-40340-8_2

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