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This chapter is concerned with methods for analyzing spatial data. After initial discussion of the nature of spatial data, including the concept of randomness, we focus most of our attention on linear regression models that involve interactions between agents across space. The introduction of...
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The paper presents a basic spatial discrete choice modeling framework obtained by applying random utility theory to …
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estimation can be achieved by controlling for both phenomena. -- Spatial econometrics ; Bayesian spatial econometrics ; Spatial …
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spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics …. Spatial econometrics focuses on the specification and estimation of regression models explicitly incorporating such spatial …
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In many microeconometric models we use distances. For instance, in modelling the individual behavior in labor economics or in health studies, the distance from a relevant point of interest (such as a hospital or a workplace) is often used as a predictor in a regression framework. However, in...
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