Showing 41 - 50 of 390
Persistent link: https://www.econbiz.de/10009720764
In this paper we determine the effect of transport cost on commuting flows, on the basis of an analysis of home-to-work journeys between municipalities in Denmark. Special attention is given to a proper estimation method and the form of the distance-decay function. It appears that neither an...
Persistent link: https://www.econbiz.de/10011338003
This paper provides insights into the design of effective location-based policies. In the context of European regional policy, we use algorithms to predict regions that are likely to underutilize funding and identify the key determinants of their low absorptive capacity. We then use a regression...
Persistent link: https://www.econbiz.de/10015064455
Spatial effects are endemic in models based on spatially referenced data. The increased awareness of the relevance of spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics. Spatial econometrics focuses on the specification and...
Persistent link: https://www.econbiz.de/10014074888
Using a panel of 439 German regions we evaluate and compare the performance of various Neural Network (NN) models as forecasting tools for regional employment growth. Because of relevant differences in data availability between the former East and West Germany, the NN models are computed...
Persistent link: https://www.econbiz.de/10013138060
This paper offers an overview of experimental results, based on neural networks (NNs) used to forecast regional employment variations in Germany. NNs are statistical optimization tools inspired by the functioning of biological neural networks. Their main characteristics are their non-linear and...
Persistent link: https://www.econbiz.de/10013138075
Persistent link: https://www.econbiz.de/10009723029
In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...
Persistent link: https://www.econbiz.de/10011348710
In this paper, a set of neural network (NN) models is developed to compute short-term forecasts of regional employment patterns in Germany. NNs are modern statistical tools based on learning algorithms that are able to process large amounts of data. NNs are enjoying increasing interest in...
Persistent link: https://www.econbiz.de/10012717667
This paper studies the impact of physical distance and different relational proximity types on the formation of the Internet infrastructure. Although there is some anecdotal evidence on the 'end of geography' effect of the Internet, the relationship between physical space and the Internet has...
Persistent link: https://www.econbiz.de/10014167991