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...

There is still hardly any empirical evidence on how divergent broadband technologies, and, by extension, bandwidth levels, influence GDP growth, or on the extent of spatial externalities at a regional level. Our study aims to assess the economic benefits of high-speed broadband networks within...

We use US county level data (3,058 observations) from 1970 to 1998 to explore the relationship between economic growth and the extent of government employment at three levels: federal, state and local. We find that increases in federal, state and local government employments are all negatively...

This paper argues that the empirical trade-growth relationship should be modelled using a dynamic panel data approach and that it is best estimated with Blundell and Bond’s (1999) system-GMM estimator. This procedure remedies some econometric problems such as regressor endogeneity, measurement...

We obtain time series estimates of the long run growth rates of 17 OECD countries, and test the hypothesis that these are the same across countries. We find that we cannot reject this hypothesis for the first and last three decades of the 20th century. We conclude that: (i) there are few, if...

This paper examines the effects of monetary policy shocks on UK regional economic growth and dispersion in a novel Constrained Mixed Frequency Vector Autoregressive framework. Compared to a standard MFVAR, the model partially accounts for missing quarterly observations for regional growth by...