We evaluate by means of Monte Carlo simulations the <b>W</b>-based spatial autoregressive model and the structural equation model with latent variables (SEM) to handle two types of simultaneously occurring weak spatial dependence: (i) spillover from a hotspot, and (iia) spillover from first-order,...

A strong increase in the availability of space-time data has occurred during the past decades. This has led to the development of a substantial literature dealing with the two particular problems inherent to this kind of data, i.e. serial dependence between the observations on each spatial unit...

A strong increase in the availability of space-time data has occurred during the past decades. This has led to the development of a substantial literature dealing with the two particular problems inherent to this kind of data, i.e. serial dependence between the observations on each spatial unit...

Omitted variables and measurement errors in explanatory variables frequently occur in hedonic price models. Ignoring these problems leads to biased estimators. In this paper, we develop a constrained autoregression–structural equation model (ASEM) to handle both types of problems. Standard...

In this paper we propose a structural equation model (SEM) with latent variables to model spatial dependence. Rather than using the spatial weights matrix <?tf=“t005”>W, we propose to use latent variables to represent spatial dependence and spillover effects, of which the observed spatially lagged...</?tf=“t005”>