lr_var: Heteroskedastic Long run variance

In pretest: A Novel Approach to Predictive Accuracy Testing in Nested Environments

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)

pretest documentation built on Oct. 19, 2023, 9:08 a.m.