In this paper, we discuss estimation procedure and various inferential methods for varying coefficient panel data models that include spatially correlated error components. Our estimation procedure is an extension of the quasi-maximum likelihood method for spatial panel data regression to the...

In this paper, we discuss estimation procedure and various inferential methods for varying coefficient panel data models that include spatially correlated error components. Our estimation procedure is an extension of the quasi-maximum likelihood method for spatial panel data regression to the...

Traffic congestion contributes to longer travel times and increased travel time variability. We account for the dynamic nature of travellers' choices, by deriving a closed-form solution for the costs of travel time variability. The resulting travel delay cost function is linear in the mean...

Travel congestion is considered as the most important negative externality of urban agglomerations. Despite the recommendations of urban and transport researchers, congestion tolls are rarely applied, mainly because these policies are not generally accepted by a broad public. Recently,...

Travel congestion is considered as the most important negative externality of urban agglomerations. Despite the recommendations of urban and transport researchers, congestion tolls are rarely applied, mainly because these policies are not generally accepted by a broad public. Recently,...

We employ a semi-parametric estimation approach to analyse observed and unobserved heterogeneity in the value of savings in travel time and schedule delay. Our econometric approach allows for the estimation of unobserved and observed heterogeneity in preferences in a flexible way, meaning that...