It computes the residual for a given coefficient vector, when the model
is a linear of nonlinear regression with instruments. The method can be
called on a gmmModels
class for a given coefficient theta or on a
gmmfit
object.
signature(object = "rslinearGmm")
signature(object = "linearGmm")
signature(object = "nonlinearGmm")
signature(object = "gmmfit")
signature(object = "gelfit")
signature(object = "sgmmfit")
signature(object = "sysGmmModels")
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | x <- rchisq(200,5)
z1 <- rnorm(200)
z2 <- .2*x+rnorm(200)
y <- x+rnorm(200)
dat <- data.frame(y=y,z1=z1,x=x,z2=z2)
theta <- c(beta0=1,beta1=2)
model1 <- gmmModel(y~x, ~z1+z2, data=dat)
## residuals for a given theta
e <- residuals(model1, theta)
## residuals of the fit
res <- modelFit(model1)
e <- residuals(res)
|
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