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1 results

  • Parameterizing Spatial Weight Matrices in Spatial Econometric Models

  • Chang Tan, Michaela Kesina, J. Paul Elhorst
  • Journal:
    Political Analysis , First View
    Published online by Cambridge University Press:
    04 October 2024, pp. 1-15
    • Article
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  • Spatial econometric models allow for interactions among cross-sectional units through spatial weight matrices. This paper parameterizes each spatial weight matrix in the widely used spatial Durbin model with a different instead of one common distance decay parameter, using negative exponential and inverse distance matrices. We propose a joint estimation approach of the decay and response parameters, and we investigate its performance in a Monte Carlo simulation experiment. We also present the results of an empirical application on military expenditures. Indirect effects in particular appear to be sensitive to different parameterizations.