A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihood and threestage least squares. The package estimates the most common spatial specifications, that is, SUR with Spatial Lag of X regressors (called SURSLX), SUR with Spatial Lag Model (called SURSLM), SUR with Spatial Error Model (called SURSEM), SUR with Spatial Durbin Model (called SURSDM), SUR with Spatial Durbin Error Model (called SURSDEM), SUR with Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called SURSARAR) and SUR with Spatially Independent Model (called SURSIM). The methodology of these models can be found in next references Mur, J., Lopez, F., and Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J., and Angulo, A. (2014) <doi:10.1007/s0016801406242>.
Package details 


Author  Ana Angulo [aut], Fernando A Lopez [aut], Roman Minguez [aut, cre], Jesus Mur [aut] 
Maintainer  Roman Minguez <[email protected]> 
License  GPL3 
Version  1.0.0.4 
URL  http://github.com/rominsal/spsur 
Package repository  View on CRAN 
Installation 
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