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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 …
Persistent link: https://www.econbiz.de/10013039149
regions are spatially related. From this point of view, it is not surprising that neighbouring region's spillover affects the … their economic performance. Of course, absolute distance towards the core region affects underperforming regions probability … influenced by knowledge spillovers. One essential purpose of spatial econometrics is to uncover knowledge spillovers from …
Persistent link: https://www.econbiz.de/10014198086
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...
Persistent link: https://www.econbiz.de/10011411576
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. …
Persistent link: https://www.econbiz.de/10010299933
of those empirical studies use spatial econometrics techniques. This being said, the main objective of the paper is to …, by the use of well-known techniques of spatial econometrics. The confrontation of the results with the ones obtained … by spatial econometrics techniques in what concerns the detection of empirical evidence supporting the existence of a …
Persistent link: https://www.econbiz.de/10011502335
Spatial interaction models of the gravity type are used in conjunction with sample data on flows between origin and destination locations to analyse international and interregional trade, commodity, migration and commuting patterns. The focus is on the classical log-normal model version and...
Persistent link: https://www.econbiz.de/10012722562
In this paper we provide a brief overview of some of the most recent empirical research on spatial econometric models and spatial data mining. Data mining in general is the search for hidden patterns that may exist in large databases. Spatial data mining is a process to discover interesting,...
Persistent link: https://www.econbiz.de/10011532588
This paper introduces a new approach to modelling the conditional variance in a multivariate setting. It is essentially a combination of the popular GARCH model class with a spatial component, inspired by generalized space-time models. The resulting spatial GARCH model takes into account both...
Persistent link: https://www.econbiz.de/10013097898
In this study, we propose simple test statistics for identifying the source of spatial dependence in spatial autoregressive models with endogenous weights matrices. Elements of the weights matrices are modelled in such a way that endogenity arises when the unobserved factors that affect elements...
Persistent link: https://www.econbiz.de/10012920801
Child birth leads to a break in a woman's employment history and is considered one reason for the relatively poor labor market outcomes observed for women compared to men. However, the time spent at home after child birth varies significantly across mothers and is likely driven by observed and,...
Persistent link: https://www.econbiz.de/10011346040