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<div>I would like to estimate a spdep::lagsarlm Model (Spatially Autoregressive Regression) in R.</div>
<div>My observations (n=447) are polygons, each representing an administrative region of Berlin and my attributes are aggregated on this regional level (e.g. unemployment rate, median house prices etc.).</div>
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<div>However, the problem is that the regions have a highly varying number of inhabitants (between 500 and 32000).</div>
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<div>Therefore, I would like to weight each observation with its number of inhabitants. With lm this is easypeasy, because it accepts the optional argument weights=...</div>
<div>How can I do something similar with spdep::lagsarlm? Is there a workaround? Or does weighting not make any sense at all in the case of SAR Models?</div>
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