📄 olsar1_d.m
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% PURPOSE: demonstrate olsc, olsar1 routines
%
% USAGE: olsar1_d
% -----------------------------------------------
% generate a model with 1st order serial correlation
n = 200;
k = 3;
tt = 1:n;
evec = randn(n,1);
xmat = randn(n,k);
xmat(:,1) = ones(n,1);
beta = ones(k,1);
beta(1,1) = 10.0; % constant term
y = zeros(n,1);
u = zeros(n,1);
for i=2:n;
u(i,1) = 0.4*u(i-1,1) + evec(i,1);
y(i,1) = xmat(i,:)*beta + u(i,1);
end;
% truncate 1st 100 observations for startup
yt = y(101:n,1);
xt = xmat(101:n,:);
n = n-100; % reset n to reflect truncation
Vnames = ['y ',
'cterm',
'x2 ',
'x3 '];
% do ols regression
result = ols(yt,xt);
prt(result,Vnames);
% do Cochrane-Orcutt
resultc = olsc(yt,xt);
prt(resultc,Vnames);
% do maximum likelihood ar1 regression
result2 = olsar1(yt,xt);
prt(result2,Vnames);
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