Este trabajo presenta un modelo de frontera estocástica con parámetros aleatorios en el componente de ineficiencia aplicado al sector bancario. Este modelo permite capturar la influencia de las exposiciones de riesgo sobre la eficiencia bancaria y distingue estos efectos entre bancos con...

This paper investigates non-linearity in spatial processes models and allows for a gradual regime-switching structure in the form of a smooth transition autoregressive process. Until now, applications of the smooth transition autoregressive (STAR) model have been largely confined to the time...

One of the major shortcommings of past environmental Kuznets curve (EKC) studies is that the spatiotemporal aspects within the data have largely been ignored. By ignoring the spatial aspect of pollution emissions past estimates of the EKC implicitly assume that a region’s emissions are...

This article analyses determinants for 2001 farmland rental prices from 4376 farms in Germany. We derive our regression equation from a spatial reaction function to allow for spatial transmission of rental prices. Results from a general spatial model show that a € 1 per hectare higher rental...

My dissertation consists of four papers embedded within the Economic Geography field. The first paper analyzes economic growth and convergence from a time series perspective focusing on regional labor markets. The second paper uses microdata to evaluate what is termed conditional sigma...

Economic integration and mobility of capital have set the ground for a significant competition over resources. Tax competition for internationally mobile tax bases such as foreign direct investments has become an important matter of study. Nevertheless, literature has focused on a regional or...

Using a data set of Wake County, North Carolina, property sales for the period 1992-2000, this study provides evidence as to the acceptability of spatial aggregation in hedonic property value models. Both statistical tests and tests based upon prediction errors are performed in order to identify...