Re: [R] Newey West HAC for pooled cross-section data

uld > in principle apply an autocorrelation correction for the data, e.g., via > Newey-West. > > But from what you describe above, it seems to be more important to capture > spatial effects in the data, e.g., by using a spatial lag model (see > lagsarlm in "spdep") or by

[R] unable to run spatial lag and error models on large data

Hi: First my apologies for cross-posting. A few days back I posted my queries ar R-sig-geo but did not get any response. Hence this post. I am working on two parcel-level housing dataset to estimate the impact of various variables on home sale prices. I created the spatial weight metrics in Ar

[R] Matching

I have a spatial weight file in csv that I want as listw object in R. The file has the following 3 variables (left to right in the file) -- OID_, NID and WEIGHTS. NID stands for the neighbors and OID_ as the origins. There are 217 origins with 4 neighbors each. I have been able to read the csv