Dear list, 

I am trying to study the code for spatial econometrics models in the "spdep" package. The code is understandable but I have some parts that I don't  understand for example why we need to do lm(y ~ x - 1) instead of just lm(y ~ x) since in other regression models in R we supposedly are doing this way instead of reducing the x by one. 

Also for "lagsarlm" we use three types of regression lm.base(), lm.lag() and the simple (y~1) model so I am not sure which model is being used to compare against the lm.lag() or how we get the LR statistics. Fore "errorsarlm" and "sacsarlm" we have the same situation but using lm.target() instead of lm.lag(). 


I would be so thankful if anybody could give the answer or show me the material that I can use for my study. 



 
Mariana Benitez Rojas


Centro Federal de Educação Tecnológico (CEFET-PA)

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