OneSampleMR (version 0.1.5)

fsw: Conditional F-statistic of Sanderson and Windmeijer (2016)

Description

fsw calculates the conditional F-statistic of Sanderson and Windmeijer (2016) for each endogenous variable in the model.

Usage

fsw(object)
# S3 method for ivreg
fsw(object)

Value

An object of class "fsw" with the following elements:

fswres

matrix with columns for the conditional F-statistics, degrees of freedom, residual degrees of freedom, and p-value. 1 row per endogenous variable.

namesendog

a character vector of the variable names of the endogenous variables.

nendog

the number of endogenous variables.

n

the sample size used for the fitted model.

Arguments

object

An object of class "ivreg" containing the results of an IV model fitted by ivreg::ivreg() for which to calculate the conditional F-statistics for each endogenous variable.

References

Sanderson E and Windmeijer F. A weak instrument F-test in linear IV models with multiple endogenous variables. Journal of Econometrics, 2016, 190, 2, 212-221, tools:::Rd_expr_doi("10.1016/j.jeconom.2015.06.004").

Examples

require(ivreg)
set.seed(12345)
n   <- 4000
z1  <- rnorm(n)
z2  <- rnorm(n)
w1  <- rnorm(n)
w2  <- rnorm(n)
u   <- rnorm(n)
x1  <- z1 + z2 + 0.2*u + 0.1*w1 + rnorm(n)
x2  <- z1 + 0.94*z2 - 0.3*u + 0.1*w2 + rnorm(n)
y   <- x1 + x2 + w1 + w2 + u
dat <- data.frame(w1, w2, x1, x2, y, z1, z2)
mod <- ivreg::ivreg(y ~ x1 + x2 + w1 + w2 | z1 + z2 + w1 + w2, data = dat)
fsw(mod)