A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
W-based versus latent variables spatial autoregressive models: evidence from Monte Carlo simulations
Abstract In this paper, we compare by means of Monte Carlo simulations two approaches to take spatial autocorrelation into account: the classical spatial autoregressive model and the structural equations model with latent variables. The former accounts for spatial dependence and spillover effects in georeferenced data by means of a spatial weights matrix W. The latter represents spatial dependence and spillover effects by means of a latent variable in the structural (regression) model while the observed spatially lagged variables are related to the latent spatial dependence variable in the measurement model. The simulation results based on Anselin’s Columbus, Ohio, crime data set show that the misspecified latent variables approach slightly trails the correctly specified classical approach in terms of bias and root mean squared error of the coefficient estimators.
W-based versus latent variables spatial autoregressive models: evidence from Monte Carlo simulations
Abstract In this paper, we compare by means of Monte Carlo simulations two approaches to take spatial autocorrelation into account: the classical spatial autoregressive model and the structural equations model with latent variables. The former accounts for spatial dependence and spillover effects in georeferenced data by means of a spatial weights matrix W. The latter represents spatial dependence and spillover effects by means of a latent variable in the structural (regression) model while the observed spatially lagged variables are related to the latent spatial dependence variable in the measurement model. The simulation results based on Anselin’s Columbus, Ohio, crime data set show that the misspecified latent variables approach slightly trails the correctly specified classical approach in terms of bias and root mean squared error of the coefficient estimators.
W-based versus latent variables spatial autoregressive models: evidence from Monte Carlo simulations
Liu, An (author) / Folmer, Henk (author) / Oud, Johan H. L. (author)
2010
Article (Journal)
English
W-based versus latent variables spatial autoregressive models: evidence from Monte Carlo simulations
| Online Contents | 2010
ESTIMATORS OF BINARY SPATIAL AUTOREGRESSIVE MODELS: A MONTE CARLO STUDY
| Online Contents | 2014