In this chapter, the statistical validation of spatial econometric models is approached from a different perspective, based on model selection or model discrimination techniques. In this context, the issue of selecting one model from among a number of alternative candidates is considered as a decision problem. More specifically, attention is focused on the nature of the trade-off between the number of parameters included in the model and the model fit, in the sense of how well the estimated model predicts in-sample observations.
CITATION STYLE
Anselin, L. (1988). Model Selection in Spatial Econometric Models (pp. 243–252). https://doi.org/10.1007/978-94-015-7799-1_14
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