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The field of study concerning statistical methods that use space and spatial relationships (such as distance, area, volume, length, height, orientation, centrality and/or other spatial characteristics of data) directly in their mathematical computations.

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Estimating a peer effects model in R

The answer is as simply as this: lagsarlm(y ~ x1 + x2, data=reg_data, listw=G, method="eigen", quiet=FALSE, zero.policy = FALSE, tol.solve=1e-14, type="mixed") type="mixed" estimates a Spatial Durban …
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4 votes
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Estimating a peer effects model in R

Econometricians will immediately recognize the similarity to spatial simultaneous autoregressive lag models, whose general form is $$ y = \rho W y + \beta X + \epsilon $$ (with $W = G$). …
MERose's user avatar
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