Reg__OLSconstrained: Restricted OLS regression

View source: R/VAR.R

Reg__OLSconstrainedR Documentation

Restricted OLS regression

Description

Restricted OLS regression

Usage

Reg__OLSconstrained(Y, X, Bcon, G = NULL)

Arguments

Y

left hand side variables (M x T)

X

regressors (i.e. N-1 variables + the intercept) (N x T)

Bcon

constraints matrix (M x N). If Bcon(i,j) = nan –> B(i,j) is a free parameter

G

weighting matrix (psd) - (M x M). Default is set to be identity

Details

Estimate of B is obtained by minimizing the objective: sum_t (Y_t-B X_t)' G^(-1) (Y_t-B*X_t) subject to the constraint that B = Bcon for all non-nan entries of Bcon

Value

matrix of coefficient (M x N)

References

This function is based on the "Reg__OLSconstrained" function by Le and Singleton (2018). "A Small Package of Matlab Routines for the Estimation of Some Term Structure Models." (Euro Area Business Cycle Network Training School - Term Structure Modelling). Available at: https://cepr.org/40029


MultiATSM documentation built on April 4, 2025, 1:40 a.m.