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As explained by @rsbivandhere, adding a Durbin= argument to splm fitting functions would be helpful for estimating the impacts from panel spatial Durbin models (SDM) as well as drawing inference for those impacts.
This would be possible if spatialreg exposes a single portable function handling such an argument.
The text was updated successfully, but these errors were encountered:
You can write the command fm <- log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp + slag(log(pcap), listw = usalw) for panel spatial Durbin models in spml. for example, the command slxmod <- spreml(fm, data = Produc, w = usaww, model = "pooling", lag = FALSE, errors = "ols"). @rsbivand@nghauranalain
As explained by @rsbivand here, adding a
Durbin=
argument tosplm
fitting functions would be helpful for estimating the impacts from panel spatial Durbin models (SDM) as well as drawing inference for those impacts.This would be possible if
spatialreg
exposes a single portable function handling such an argument.The text was updated successfully, but these errors were encountered: