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Social network data consists of a collection of "nodes" (which can be any sort of entity - e.g. people, corporations) and "links" (which can be any sort of relationship - e.g. friend, sharing a board member).
3
votes
Accepted
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 D …
4
votes
1
answer
525
views
Estimating a peer effects model in R
I would like to estimate a model of the following form:
$$
y = \sigma G y + \beta X + \delta G^* X + \epsilon
$$
where $G$ and $G^*$ are quadratic adjacency matrices, $y$ is a vector of a dependent …