Dear users,
I am new in "spatial correlation" and need your help. I appreciate if you can help me. here are the commands I run and I have no problem getting the output. However, I cannot say it for the output:)
spatcorr value, bands(0 1.5 3 4.5) xcoord(x) ycoord(y)cumulative
spatwmat, name(W) standardize xcoord(x) ycoord(y) band(0 1.5)eigenval(E)
spatreg value sf sf2 age lot br fb pool d1 d2 d3 d4 d5, weights(W) eigenval(E) model(lag)
spatreg lnvalue sf sf2 age lot br fb pool d1 d2 d3 d4 d5, weights(W) eigenval(E) model(error)
My questions are:
1) I noticed that I can use only one variable after "spatcorr" and I assume it must be the dependent variable but that means the program is only checking for the spatial correlation in that variable alone without knowing what my full model is. That does not make sense to me. Then how does it determine if the spatial correlation is "lag" type or "error" type unless it defines the error as the deviation in Y?
2) I tried to run "spatcorr" with "lnvalue" as I normally use semi-log form and I got different Moran I. Can I use this command with transformed variable. How does that affect the interpretation of the I?
3) Is there any easy way of understanding if the spatial autocorrelation is due to "lag" or "error" from the output?
4) When I have the output for the last two lines (spatreg) and compare them with OLS, I do not see much difference even though Moran I, rho and lambda all are significant. How can I knoe that actually one is superior to the others. This last one is especially important for me. Because I really doubt about the importance of spatial autocorrelation and I need to be convinced by one of the "believers":).
Thank you for your time and attention and I look forward to hearing from you soon.
Recai
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