The estimated parameters of output distance functions frequently violate the monotonicity, quasi-convexity and convexity constraints implied by economic theory, leading to estimated elasticities and shadow prices that are incorrectly signed, and ultimately to perverse conclusions concerning the...

One of the most enduring problems in cross-section or panel data models is heterogeneity among individual observations. Different approaches have been proposed to deal with this issue, but threshold regression models offer intuitively appealing econometric methods to account for heterogeneity....

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...

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...

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...

The findings of recent studies on adjustment processes suggest that regional labour markets in the EU and the US differ significantly. Low wage flexibility and limited labour mobility in European countries involve persistent unemployment differentials across regions. However, the spatial...

The inclusion of spatial correlation of house price in hedonic pricing model may produce better marginal implicit price estimate(s) of the environmental variable(s) of interest. Most applications where a spatial econometric model is applied to the estimation of a hedonic property value model...

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...

Panel data are used in almost all subfields of the agricultural economics profession. Furthermore, many research areas have an important spatial dimension. This article discusses some of the recent contributions made in the evolving theoretical and empirical literature on spatialeconometric...