This paper estimates the effects of knowledge spillovers on patent growth rates across 335 European regions over the 1989-1999 period. We propose a dynamic model based on an innovation production function. A Bayesian approach is used to take into account area-specific innovation and spatial...

This study investigates the pattern of knowledge spillovers arising from patent activity between European regions. A Bayesian hierarchical model is developed that specifies region-specific latent effects parameters modeled using a connectivity structure between regions that can reflect...

We extend the literature on Bayesian model comparison for ordinary least-squares regression models to include spatial autoregressive and spatial error models. Our focus is on comparing models that consist of different matrices of explanatory variables. A Markov Chain Monte Carlo model...

Changes in land use patterns impact significantly environmental conditions as well as economic and social welfare. These changes are influenced by socio-economic as well as pedo-climatic factors. A good understanding of how these factors influence land use patterns would provide new dimensions...

This paper examines Africa's and Middle East's growth performance for the period 1990- 2005. It employs a Bayesian Model Averaging method that constructs estimates as a weighted average of Spatial Autoregressive estimates for every possible combination of included variables. One of the results...

This article examines the growth performance of Africa and the Middle East for the period 1990-2005. It employs a Bayesian model-averaging method that constructs estimates as a weighted average of spatial autoregressive estimates for every possible combination of included variables. One of the...

This paper examines the impacts of a multi-purpose trail on residential property values in a hedonic model. Using a large housing data set in combination with street network distances, we show that proximity to trail entrances positively effects property values. Among other things, our study...

We develop a general space–time filter applied to panel data models in order to control for heterogeneity as well as both time and spatial dependence. Treatment of initial period observations is analyzed when the number of time periods is small. A second issue relates to a restriction implied...

This study investigates the pattern of knowledge spillovers arising from patent activity between European regions. A Bayesian hierarchical model is developed that specifies region-specific latent effects parameters modeled using a connectivity structure between regions that can reflect...