Hey everyone. Can anyone help me implement these steps into R code?
Using this system:
I found this piece of R code which might be helpful:
# Sample Size
N <- 2^12;
# Linear Model to Boostrap
Model2Boot <- lm( mpg ~ wt...
As a newbie to bootstrapping, I'm having some trouble with developing with critical wald test scores for every observation in my panel dataset. I'm using a Seemingly Unrelated Regression to predict residuals, but then I'm unsure how to resample these and develop these critical wald test values...