¡°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...

Spatial econometrics has recently been appraised in a theme issue of the Journal of Regional Science. Partridge et al. (2012) provide an overview of the three contributing papers, the most critical being Gibbons and Overman (2012). Although some of the critiques raised are valid, they are issues...

This paper provides a model for the well-known empirical phenomenon that houses of different quality experience different price developments. The typical pattern is that luxury houses appreciate more in boom periods and depreciate more during busts. The standard model of housing demand treats...

In this paper we provide a brief overview of some of the most recent empirical research on spatial econometric models and spatial data mining. Data mining in general is the search for hidden patterns that may exist in large databases. Spatial data mining is a process to discover interesting,...

This paper aims to reveal the importance of public transport policies in the evolution of crime configuration and so, the vital responsibility of urban transports and criminality in social sprawl, entrepreneurial configuration and social structure on a city. Public transport policies have an...

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...

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...

The Gravity Model is the workhorse for empirical studies in International Economies and it is commonly used in explaining the trade flow between countries. Recently, several studies have showed the importance of taking into account the spatial effect. The standard procedure until now was to...

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 Gravity Model is the workhorse for empirical studies in International Economies and it is commonly used in explaining the trade flow between countries. Recently, several studies have showed the importance of taking into account the spatial effect. Spatial Econometric techniques meet this...