[R-sig-Geo] Imputation of missing spatial areal data
Roger@B|v@nd @end|ng |rom nhh@no
Mon Oct 28 11:09:30 CET 2019
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
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
> Thanks in advance.
> Amitha Puranik.
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