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...

We develop a theoretical model in which whites mainly use private vehicles to commute whereas non-whites use public transportation. We show that, for whites and non-whites, higher (time) distance-to-jobs leads to lower search effort. Because of different transport modes, we also show that, at...

The paper aims at analysing the impact of territorial capital endowment on the economic growth process measured by exports and employment growth for the 103 italian provinces over the period 1999-2011. A broader concept of territorial capital has been used (Camagni, 2008) which takes into...

A new and extensive panel of outward foreign direct investment (FDI) at the sector level is used to estimate the determinants of non-resource and resource FDI. Since FDI is I(1), we estimate panel error-correction models of FDI with spatial lags for FDI and market potential. Our main result is...

Empirical assessments of the forecasting power of spatial panel data econometric models are still scarcely available. Moreover, several methodological contributions rely on simulated data to showcase the potential of proposed methods. While simulations are obviously useful to evaluate the...

This paper examines patterns of FDI inflows to Southern European (SE) regions, which seem to be at the margin of the FDI attraction game accounting for a very small share of total inward FDI in the EU. In order to understand why these regions attracted such a low number of foreign investors,...

¡°Spatial thinking¡± is increasingly popular in housing market studies and spatial dependence across properties has been widely investigated in the intra-city housing market. The contribution of this paper is to study the spatial dependence and spillover effect of house prices from...

This paper is concerned with methods for analysing spatial data. After initial discussion on the nature of spatial data, including the concept of randomness, we focus most of our attention on linear regression models that involve interactions between agents across space. The introduction of...

Based on a modified Spatiotemporal Autoregressive Model (STAR), we analyze whether borders still constitute significant impediments to labor market integration in the European Union, despite the formal law of free movement of labor. Using regional data from the EU-15 countries over 21 years, we...