Reg__OLSconstrained | R Documentation |
Restricted OLS regression
Reg__OLSconstrained(Y, X, Bcon, G = NULL)
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 |
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
matrix of coefficient (M x N)
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
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