Misspecifications in interaction model distance decay relations: A spatial structure effect |
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Authors: | M. Tiefelsdorf |
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Affiliation: | (1) Department of Geography, The Ohio State University, Columbus, Ohio 43210, USA (e-mail: tiefelsdorf.1@osu.edu), US |
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Abstract: | An exclusively statistical approach is proposed to address the spatial structure effects of general interaction models. It is shown that the spatial heterogeneity in the estimated region-specific distance decay parameters may in part be due to the combination of two factors: (a) a functional mis-specification of the global distance decay relationship; and (b) the heterogeneity in the region-specific conditional distance distributions. A properly specified global distance decay function allows controlling for these spatially induced biases in the local distance decay parameters. However, inherent multicollinearities between the set of region specific distance decay parameters and other estimated model parameters prevent an unambiguous interpretation. A key conclusion is that a proper model specification, in particular, the specification of the global distance decay relationship, is of paramount importance in interaction modeling and for accessibility studies. Received: September 2002 / Accepted: January 2003 |
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Keywords: | : interaction model, local distance decay, Box-Cox transformation, Poisson regression, multicollinearity |
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