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...

New knowledge generated by an economic agent in a region will tend over time to flow to other economic agents in the same region but also to economic agents in other regions. It is quite common in the literature to use the concept of knowledge spillovers for such knowledge flows, irrespective of...

Realizing the importance of location, economists are increasingly adopting spatial analytical and spatial econometric perspectives to study questions such as the geographical targeting of policy interventions, regional agglomeration effects, the diffusion of technologies across space, or causes...

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...

We describe the spreg command, which implements a maximum likelihood estimator and a generalized spatial two-stage least-squares estimator for the parameters of a linear cross-sectional spatial-autoregressive model with spatial-autoregressive disturbances. Copyright 2013 by StataCorp LP.

We present the spmat command for creating, managing, and storing spatial-weighting matrices, which are used to model interactions between spatial or more generally cross-sectional units. spmat can store spatial-weighting matrices in a general and banded form. We illustrate the use of the spmat...

We describe the spivreg command, which estimates the parameters of linear cross-sectional spatial-autoregressive models with spatial-autoregressive disturbances, where the model may also contain additional endogenous variables as well as exogenous variables. spivreg uses results and the...

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...