HeckmanEM (version 0.2-1)

HeckmanEM.infomat: Standard error estimation for the Heckman Selection model by the Information Matrix

Description

`HeckmanEM.infomat()` estimates the standard errors for the parameters for the fitted Heckman selection model.

Usage

HeckmanEM.infomat(obj)

Value

The estimated standard errors for the parameters of the fitted model.

Arguments

obj

An object of the class HeckmanEM.

Examples

# \donttest{
n <- 100
family <- "T"
nu <- 4
rho <- .6
cens <- .25

set.seed(20200527)
w <- cbind(1,runif(n,-1,1),rnorm(n))
x <- cbind(w[,1:2])
c <- qt(cens, df=nu)

sigma2 <- 1

beta <- c(1,0.5)
gamma <- c(1,0.3,-.5)
gamma[1] <- -c*sqrt(sigma2)

set.seed(1)
datas <- rHeckman(x,w,beta,gamma,sigma2,rho,nu,family=family)
y <- datas$y
cc <- datas$cc

res <- HeckmanEM(y, x, w, cc, nu = 4, family = "Normal", error = 1e-05, iter.max = 500,
                 im = FALSE, criteria = TRUE)
im <- HeckmanEM.infomat(res)
# }