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Use this tag for any *on-topic* question that (a) involves `R` either as a critical part of the question or expected answer, & (b) is not *just* about how to use `R`.
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
Because of the high similarity, I tried Roger Bivand's spdep package for R. …
0
votes
1
answer
180
views
Can Marginal effects and Incidence Rate Ratios be exactly the same?
To showcase my problem using the mfx package for R:
library("AER")
library("mfx")
data("Journals", package="AER")
mod1 = negbinmfx(citations ~ price + pages,
data = Journals)
summary( …
0
votes
Can Marginal effects and Incidence Rate Ratios be exactly the same?
The answer to this riddle is simple: $fit does not contain what I was looking for. It contains the parameters of the model that mfx() wraps.
To see this, the output of mod1 is
Call:
negbinmfx(formula …