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econometric models. We also examine some diagnostic measures to evaluate the spatial autocorrelation of the pseudo … arrangement on the variables in the predictive model and reduce the effect of spatial autocorrelation on prediction errors. In … remove the spatial autocorrelation on pseudo-residuals and improvement in the accuracy of spatial predictive models. …
Persistent link: https://www.econbiz.de/10011532588
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 …, referring to both heterogeneity and interdependence of phenomena occurring in two-dimensional space. Spatial autocorrelation or …
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The traditional approach to estimate spatial models bases on a preconceived spatial weights matrix to measure spatial interaction among locations. The a priori assumptions used to define this matrix are supposed to be in line with the "true" spatial relationships among the locations of the...
Persistent link: https://www.econbiz.de/10012172405
This paper develops a statistical model for measuring spatial interactions when estimating macroeconomic regimes and regime shifts. The model is applied to study the contagion and propagation of recessions in small regional economies in the United States from 1990 to 2015. The empirical analysis...
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The main purpose of the article is to consider a important issue of spatial econometrics which is a proper …
Persistent link: https://www.econbiz.de/10011997008
estimation can be achieved by controlling for both phenomena. -- Spatial econometrics ; Bayesian spatial econometrics ; Spatial …
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