[R] Spatial Panel Model by Maximum Likelihood: error message

[Peter Karpestam]

Thank you but no! I have tried that as well and I get: 

"Error in mat2listw(e) : (list) object cannot be coerced to type 'double'"

> From: holtermann at hwwi.org
> To: roypeter77 at hotmail.com; r-help at r-project.org
> Subject: AW: [R] Spatial Panel Model by Maximum Likelihood: error message
> Date: Mon, 7 Dec 2015 15:06:05 +0000
> 
> Maybe "e" has the wrong class. Probably it is a matrix. Try listw = mat2listw(e)
> 
> 
> Mit freundlichen Grüßen
> 
> 
> Linus Holtermann
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> 
> -----Ursprüngliche Nachricht-----
> Von: R-help [mailto:r-help-bounces at r-project.org] Im Auftrag von Peter Karpestam
> Gesendet: Montag, 7. Dezember 2015 11:07
> An: r-help at r-project.org
> Betreff: [R] Spatial Panel Model by Maximum Likelihood: error message
> 
> Dear R-users!
> 
> Beforehand I do apologize for this fundamental type of question. But I am new to R, and I have indeed spent several hours online trying to avoid spamming this forum with basic questions.
> I am still not able to find out what's wrong.
> 
> I attach my code! I nead to estimate a spatial panel model. In doing so, I have installed and loaded the "splm package".
> 
> > b<- 
> > read.dta13('C:/Users/Peter/Documents/R/win-library/3.2/ENHR/tillvaxtte
> > st2.dta') 
> > mydata1=read.table('C:/Users/Peter/Documents/R/win-library/3.2/ENHR/av
> > stand6.txt', header=FALSE)
> > 
> > e=matrix(mydata, nrow=286, ncol=286)
> > tillvaxt<-pdata.frame(b)
> > 
> > fm<-dlnypc~Totinfly+totutfly
> > 
> > fespaterr <- spml(fm, data = tillvaxt,listw =e,
> + model="within", spatial.error="b", Hess = FALSE)
> Error in listw2mat(x) : non-positive number of entities
> 
> The error message is found in the last line. I am checking my "weighting matrix" and according to my understanding, the matrix fulfills the requirement (i.e. the diagonal elements are zero, whereas remaining elements are positive). It is a symmetric 286X286 matrix.
> 
> Obviuosly, there is something wrong with my e-matrix, but I can't figure out how. There are in fact no negative elements in the matrix.
> 
> Thank you in advance!
> 
> Peter 
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