A FURTHER EXPLORATION INTO THE ROBUSTNESS OF SPATIAL AUTOCORRELATION SPECIFICATIONS
In a recent study, the robustness of linear models with various spatial autocorrelation specifications was assessed through Monte Carlo experiments, and the geostatistical models were concluded to dominate the weight matrix models in the prediction. The present study tests the soundness of this conclusion with a different framework for prediction and presents some experimental results that can call into doubt the dominance of the geostatistical models over the weight matrix models. Copyright (c) Blackwell Publishing, Inc. 2008
Year of publication: |
2008
|
---|---|
Authors: | Kato, Takafumi |
Published in: |
Journal of Regional Science. - Wiley Blackwell, ISSN 0022-4146. - Vol. 48.2008, 3, p. 615-639
|
Publisher: |
Wiley Blackwell |
Saved in:
freely available
Saved in favorites
Similar items by person
-
Prediction in the lognormal regression model with spatial error dependence
Kato, Takafumi, (2012)
-
Usefulness of the Information Contained in the Prediction Sample for the Spatial Error Model
Kato, Takafumi, (2013)
-
Kato, Takafumi, (2008)
- More ...