Dear Roger, Thank you for the quick response. I shall refer the article that you recommended.
Kind regards, Amitha Puranik. On Mon, Oct 28, 2019 at 3:39 PM Roger Bivand <roger.biv...@nhh.no> wrote: > On Mon, 28 Oct 2019, Amitha Puranik wrote: > > > Hello everyone, > > > > I would like to know whether it is possible to use the spatial > > autoregressive model to impute missing values in aggregate data? If the > > OLS model is replaced with SAR model in regression imputation, would it > > lead to better estimates for missing values in a spatial data? Any > > opinion/ suggestion is appreciated. > > Please see the article referenced in the help page for > spatialreg::predict.sarlm(): > > Michel Goulard, Thibault Laurent & Christine Thomas-Agnan, 2017 About > predictions in spatial autoregressive models: optimal and almost optimal > strategies, Spatial Economic Analysis Volume 12, Issue 2-3, 304-325 > > The differences in the spatial error model would be through any > differences in covariate coefficient values, but if the differences are > large, the Hausman test for misspecification would fail. Your post nudged > me to raise an issue on spatialreg about SLX prediction, which very likely > also makes sense, and to check predictions where Durbin=TRUE more > generally. > > Roger > > > > > Thanks in advance. > > > > Amitha Puranik. > > > > [[alternative HTML version deleted]] > > > > _______________________________________________ > > R-sig-Geo mailing list > > R-sig-Geo@r-project.org > > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > > > > -- > Roger Bivand > Department of Economics, Norwegian School of Economics, > Helleveien 30, N-5045 Bergen, Norway. > voice: +47 55 95 93 55; e-mail: roger.biv...@nhh.no > https://orcid.org/0000-0003-2392-6140 > https://scholar.google.no/citations?user=AWeghB0AAAAJ&hl=en > [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-geo