This paper contributes to the recent literature in spatial econometrics that focuses on space-time data modeling implementing a multi-location time-series statistical framework to analyze a regional system. Therefore, taking as a point of departure the Global Vector Autoregression approach...

The estimation of the impact of public investment on regional economic growth requires consideration of the spatio-temporal dynamics among the state variables of each region. Recent austerity policies in Spain that feature temporary decreases in the accumulation of regional public capital should...

By studying the interaction between social capital and decentralization, we show that political decentralization can be a source of divergence across heterogeneous regions. In particular, we claim that since the local endowments of social capital display their effect on the economy mainly...

Applied econometrics has recently emphasized the identification of causal parameters for policy analysis. This revolution has yet to fully propagate to the field of regional science. We examine the scope for application of the matching approach – part of the modern applied econometrics toolkit...

We use the case of EU enlargement in 2004 to investigate the impact of economic integration on regional income growth. Being particularly interested in studying the effects ‘at the margin’, we track the relative performance of regions adjacent to both sides of the integration border...

This paper deals with the effects of publicly funded research on regional technological progress and economic growth. We adopt a system approach and investigate the effects on all regional input factors and output by means of a flexible spatial panel VAR (SpPVAR) model. This allows us to deal...