Evaluating the impact of public mass transit systems on real-estate values is an important application of the hedonic price model (HPM). Recently, a mathematical transformation of this approach has been proposed to account for the potential omission of latent spatial variables that may...

Recent developments in spatial econometrics have been devoted to spatio-temporal data and how spatial panel data structure should be modeled. Little effort has been devoted to the way one must deal with spatial data pooled over time. This paper presents the characteristics of spatial data pooled...

Recent ready access to free software and toolbox applications is directly impacting spatial econometric modelling when working with geolocated data. Spatial econometric models are valuable tools for taking into account the possible latent structure of the price determination process and ensuring...

(VF)L'article s'attache à présenter la particularité des données spatiales empilées et montre pourquoi il peut être contre-indiqué d'utiliser les approches spatiales développées pour les données en coupe transversale empilées dans le temps. La dimension temps implique des relations...

This paper addresses the development of a statistical model for spatial data collected over time, such as real estate data. A spatio-temporal autoregressive (STAR) model, based on spatial and temporal weight matrices, is proposed. The spatial and temporal weight matrices are used to develop...

This paper aims to bring the reflection about using spatial weight matrix in spatial statistics and tests related to detect spatial autocorrelation as well as in the use of spatial regression model when both, time and space, dimensions are present. The development of a unique spatio-temporal...

Our study aims to measure the effects of spatial R&D spillovers on firms' patent production at the city level. We use an original method to estimate the spatial dimension of spillovers using count data. The method, based on a generalized cross entropy approach, allows us to test spatial...

This article investigates the effects of human capital and technological capital on innovation. While the role of technological capital as measured by research and development (R&D) expenditure has been intensively investigated, few studies have been made on the effect of employee training on...

Our paper identifies and estimates the effects of R&D spillovers on total factor productivity with consideration of spatial effects. We first run our estimations on the Coe and Helpman (1995) model introducing spatial correlation. The results show positive R&D spillover effects on TFP and high...