For several decades, cross-country analyses have dominated the literature on economic growth. Recently, these analyses have been extended to include sectoral variation as well as spatial variation across sub-national regions. This paper investigates economic growth and potential determinants of...

For several decades, cross-country analyses have dominated the literature on economic growth. Recently, these analyses have been extended to include sectoral variation as well as spatial variation across sub-national regions. This paper investigates economic growth and potential determinants of...

Spatial regression models incorporating non-stationarity in the regression coefficients are popular. We propose a spatial variant of the Smooth Transition AutoRegressive (STAR) model that is more parsimonious than commonly used approaches and endogenously determines the extent of spatial...

Several spatial econometric approaches are available to model spatially correlated disturbances in count models, but there are at present no structurally consistent count models incorporating spatial lag autocorrelation. A two-step, limited information maximum likelihood estimator is proposed to...

This paper tests a series of prominent hypotheses regarding the determinants of per-capita income using a novel spatial econometric approach to control for spillovers among neighboring countries and for spatially correlated omitted variables. We use simultaneous equations to identify alternative...

This paper analyzes the spatial distribution of corruption and its primary economic and political determinants. Economic freedom and development are found to lower incidences of corruption. Of notable significance, this study finds empirical evidence of a non-linear relationship between a...

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...

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...

Finding proper policy instruments to promote productivity growth features prominently on the Lisbon agenda and is central in many national as well as European policy debates. In view of the increased mobility of high-skilled workers in Europe, ongoing globalization and increased interregional...

In this paper we employ techniques developed in spatial econometrics to analyse spatial patterns of technology diffusion, to detect clusters and to estimate theoretical models that incorporate space explicitly. These techniques correct for misspecifications resulting from the omission of spatial...