This paper considers the problem of model uncertainty associated with variable selection and specification of the spatial weight matrix in spatial growth regression models in general and growth regression models based on the matrix exponential spatial specification in particular. A natural...

In this paper we put forward a Bayesian Model Averaging method dealing with model uncertainty in the presence of potential spatial autocorrelation. The method uses spatial filtering in order to account for different types of spatial links. We contribute to existing methods that handle spatial...

In this paper we put forward a Bayesian Model Averaging method dealing with model uncertainty in the presence of potential spatial autocorrelation. The method uses spatial filtering in order to account for different types of spatial links. We contribute to existing methods that handle spatial...

A key factor for a stable and solid development is the gain in labor productivity. The regions that manage to pull out of poverty and improve the living standards of their inhabitants, in fact, need to be able to diversify away from agriculture and other traditional sectors. In doing this, the...

This paper examines the long-run relationship between trade open-ness and economic growth across countries over the period 1960-2000. Two strategies are followed in empirical investigation. First, we extend the augmented neo-classical growth model with an openness variable and estimate it by...

Regional scientists frequently work with regression relationships involving sample data that is spatial in nature. For example, hedonic house-price regressions relate selling prices of houses located at points in space to characteristics of the homes as well as neighborhood characteristics....