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for spatial heterogeneity. In particular, Bayesian and Maximum-Likelihood (ML) estimation methods are employed for model … estimation can be achieved by controlling for both phenomena. -- Spatial econometrics ; Bayesian spatial econometrics ; Spatial …
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This paper proposes an empirical analysis of the sensitivity of Discrete Choice Model (DCM) to the size of the spatial units used as choice set (which relates to the well-known Modifiable Areal Unit Problem). Job's location choices in Brussels (Belgium) are used as the case study. DCMs are...
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clustered over time, suggesting the possibility that technology levels are converging locally. Estimation of spatial versions of …
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literature. In contrast, studies on relative location tend to be weakly linked to theory, but apply relatively sophisticated … appropriateness of such models, and identify areas of potential concern. The rather weak linkage between theory and operational models …
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spatial structure that is required for the estimation of spatial models improves the forecasting performance of non …
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