lr_var {pretest} | R Documentation |
Heteroskedastic Long run variance
Description
Long-run covariance estimation using Newey-West (Bartlett) weights
Usage
lr_var(u, nlag = NULL, demean = TRUE)
Arguments
u |
P by K vector of residual series, for which we recommend to use the recursive residuals from larger model. |
nlag |
Non-negative integer containing the lag length to use. If empty or not included, nleg = min(floor(1.2*T^(1/3)),T) will be used. |
demean |
Logical true of false (0 or 1) indicating whether the mean should be subtracted when computing. |
Details
Copyright: Kevin Sheppard Kevin.sheppard\@economics.ox.ac.uk Revision: 3 Date: 5/1/2007
Value
K by K vector of Long run variance using Newey-West (Bartlett) weights.
Examples
x<- rnorm(15);
#Newey-West covariance with automatic BW selection
lrcov = lr_var(x)
#Newey-West covariance with 10 lags
lrcov = lr_var(x, 10)
#Newey-West covariance with 10 lags and no demeaning
lrcov = lr_var(x, 10, 0)
[Package pretest version 0.2 Index]