Spatial dynamic microsimulations have distinct potential to operate and project populations on finely detailed geographic level. For this, a detailed building and dwellings data set is typically needed, such that inner-region migration flows and local population developments may be modelled...

This paper proposes an iterative three-step spatial clustering procedure to define Functional Economic Market Areas (FEMAs) with an evolutionary computational approach using flow data on economic linkages. FEMAs are needed as basic observation units in disaggregated economic data analysis, since...

This paper investigates whether localization economies as brought forward by Marshall(1890) or urbanization economies as mentioned by Jacobs (1970) are more decisive forregional gross value added per capita. Our novel approach is to explicitly allow forinterdependencies between these two...

This paper analyzes how the aging labor force aþects the unemployment rate at the regional level in Germany. A theoretical model of equilibrium unemployment with spatial labor market interactions is used to study the eþects of age-related changes in job creation and job destruction. Using data...

This paper investigates whether national evaluation of decentralised government performance tends, by lessening local information spill-overs, to reduce the scope for local performance comparisons and consequently to lower the extent of spatial auto-correlation among local government...

Interest groups are introduced in a spatial model of electoral competition between two political parties. We show that the presence of these interest groups increases the winning set, which is the set of policy platforms for the challenger that will defeat the incumbent. Therefore interest...

This paper analyzes, within a regional growth model, the impact of productive governmental policy and integration on the spatial distribution of economic activity. Integration is understood as enhancing territorial cooperation between the regions, and it describes the extent to which one region...

One important goal of this study is to develop a methodology of inference for a widely used Cliff-Ord type spatial model containing spatial lags in the dependent variable, exogenous variables, and the disturbance terms, while allowing for unknown heteroskedasticity in the innovations. We first...

In this paper we specify a linear Cliff and Ord-type spatial model. The model allows for spatial lags in the dependent variable, the exogenous variables, and disturbances. The innovations in the disturbance process are assumed to be heteroskedastic with an unknown form. We formulate a multi-step...

This paper analyzes, within a regional growth model, the impact of productive governmental policy and integration on the spatial distribution of economic activity. Integration is understood as enhancing territorial cooperation between the regions, and it describes the extent to which one region...